European Commission

European Fish Ageing Network

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

EFAN Cell 2&3  Workshop -  Universitat de les Illes Balears

 

on the

 

“Use of digital tools for exchanging

annotated images of calcified structures”

 

4 – 5 October 2000

 

 

 

 

 

 

 

under the auspices of the EC

Concerted Action

(FAIR PL.96.1304)

 

 

EFAN Report 8-2000

 

 

 

" Use of digital tools for exchanging

annotated images of calcified structures "

 

 

Proceedings of a EFAN Cell 2&3  workshop held at  Universitat de les Illes Balears,Palma de Mallorca, Spain,

4 – 5 October 2000

 

 

Editor: Hervé Troadec

 

IFREMER DRV/RH

BP 70

29280 Plouzane, France

 

Tlf. - 33-298224388

Fax- 33-298224547

e-mail: htroadec@ifremer.fr k

 

 

European Fish Ageing Network (EFAN)

For further information, please contact:

EFAN, Institute of Marine Research, Flødevigen Marine Research Station, N-4817 His, Norway.

Phone: (47) 37 05 90 00; Fax: (47) 37 05 90 01; Email: bente.lundin@imr.no

Office address: Flødevigvn. 49, Hisøy (Arendal), Norway.

Coordinator: Erlend Moksness, Phone (direct): (47) 37 05 90 41; E-mail: moksness@imr.no

 


 

 

 

 

CONTENTS

 

 

I.      Introduction.......................................................................................................................... 34

A.    Background...................................................................................................................... 34

B.     Goals for digital image users.............................................................................................. 34

II.     Creation of a digitised reference collection............................................................................. 45

A.    Software choice................................................................................................................ 45

B.     Image digitisation.............................................................................................................. 45

1.     Image resolution and colour versus black &white........................................................... 45

2.     Viewing limitations........................................................................................................ 56

C.    Image annotation.............................................................................................................. 56

1.     Image format................................................................................................................ 67

2.     Use of digital images for control collections:................................................................... 89

3.     Use of agreed digital collections for training................................................................... 910

4.     Digital validated collections........................................................................................... 910

5.     Use of digital images for exchanges............................................................................... 910

6.     Use of digital images for workshops.............................................................................. 910

III.   Prospects for the future....................................................................................................... 1011

A.    Need for custom software............................................................................................... 1011

B.     Intensification of internet use............................................................................................ 1011

IV.   References......................................................................................................................... 11

V. List of participants.................................................................................................................. 11

 


 

 

 

 

 

List of participants

 

Table 1:  Participants of the Cell 2&3 2000 Workshop held in Palma (Spain)

 

First name

Last name

Country

1

Richard

Ayers

UK

2

Manuela

Cunha

Portugal

3

Peer

Doering-Arjes

Germany

4

Gianfranco

Giannetti

Italy

5

Toni

Lombarte

Spain

6

Beatriz

Morales-Nin

,/td>

Spain

7

Ana

Moreno

Portugal

8

Andrew

Newton

UK

9

Conor

Nolan

Ireland

10

Sandra

Ramos

Portugal

11

Filipa

Ribeiro

Portugal

12

Hervé

Troadec

France


 

I.                  Introduction

 

The use of digital images for age estimations of calcified structures can provide many benefits.  Their ease of circulation and exchange should facilitate dialogue at national and international levels on methodology and interpretation protocols (see glossary of EFAN report 3/98).

 

The methods and technologies used in the capture and processing of digital images is a dynamic area that requires researchers to exchange information regularly. Hence, guidelines provided below are frequently supposed being updated.

 

As a first step in the interpretation of calcified micro and macro structures, used in the determination of age, a detailed analysis of each structure is required. Analyses should identify and describe basic structures and their associated problems and incorporate these in the development of general, standardised interpretation procedures.

 

Resulting protocols should be objective and comparable, recognising intra and inter specific structural variability in their construction and incorporating recognised terminology in the formulation of instructions. 

 

Such objectivity will assist in the resolution of subsequent, subjective interpretation of the image (e.g. subjectivity due to species life histories, geographical areas of occurrence) and the associated age estimation of the calcified structure.

 

 

A.       Background

 

EFAN Cell 2 (Information Processing), a collaboration of software developers and users of digital image processing software, developed simple protocols for the exchange of interpreted digital images as a result of a workshop held in the University of Porto (Portugal, 1998; EFAN Report 3-98). These protocols were used and adapted in a subsequent workshop on whiting otoliths (Hirtshals, Denmark) where a reference collection of annotated images was created (Newton, 1998). These protocols are in a continuous state of update and development and depend on continued communication between users and software developers for their successful application (EFAN Report 1/2000, Iraklion, 1999).

 

B.       Goals for digital image users

 

·        The establishment of a digital image reference database of calcified structures (e.g. otoliths, statoliths, scales, spines etc.) of species aged with computer assisted age estimation tools (semi-automatic or automatic). Such a database should preferably be web based for maximum accessibility and include control, agreed and/or validated reference collections (e.g. EFAN Cell 2 “Digital Image Reference DataBase of Interpreted Calcified Structures”),

·        The establishment of digital image exchange programmes using standardised protocols,

·        The organisation of ad hoc workshops to resolve interpretation problems,

·        The initiation, where possible, of dialogue between the users and developers of image analysis software.

 

II.               Creation of a digitised reference collection

A.       Software choice

The choice of a specific software package must be guided by the kind of use that is required (e.g. creation of the image set, interpretation of images, automatic post-processing of the results) and by the  tools that are required to produce a correct interpretation (e.g. measurements, back-calculation, focusing). Software available on the market can be divided into three types :

 

1.      graphics packages or photo retouching packages providing tools enabling basic image and graphic overlay manipulation (e.g. Paintshop-Pro, PhotoShop). They  allow the marking of basic structure information required for calcified structure interpretation. Digitisation is generally limited to TWAIN drivers that are not sufficiently flexible in most cases require the use of more specialist imaging packages.

 

1.scientific imaging packages provide the features described in (1) along with sophisticated digitising capabilities and measurement tools. Some packages provide functions more or less adapted to age estimation on calcified structures (e.g. Image-Pro, NIH, Optimas, Visilog).

 

 

2.      specialised imaging software can provide in addition to all the features described in (1) and (2) more specific functions like real-time back-calculation, ring location, curved profile acquisition, mosaic building (e.g. OTO, Bony-Parts, TNPC/Visilog). They are also able to manage basic structure co-ordinates, which can be of a great help for post-processing of large amounts of readings.

 

 

B.       Image digitisation

The digital image of a calcified structure is only a representation of the ‘operators’ preferred  view for interpretation.  The ‘operator’ may be a group of experts or a single technician. Associated with each reference collection, files should be provided detailing the source of the images and the method used to capture them.  As a collection evolves, it is important that the images within that collection remain comparable regarding acquisition conditions.

1.      Image resolution and colour/Black & White

Sensor resolution is constantly increasing but digital images are still not of a quality comparable to that observed by the human eye through a microscope. The specification of the otolith collection should attempt to provide images with the best resolution and the best dynamic range. Cameras providing  images in excess of 1Mb are becoming more widely available and must be preferred to those of lower resolution. The choice of colour or black and white images should be made after discussion with expert readers who can give guidance on their use of colour gradients when making interpretations.

2.      Viewing limitations

When an age reader is working with an original sample it is possible to alter all the viewing parameters e.g. lighting, orientation, magnification or focus, using digital images restricts the parameters that can be altered by each reader. This effectively restricts the reader to choices made by whoever digitised the sample.

 

1.1              Focusing problem

One of these limitations is that digitising only provides images in one focal plane. The choice of focal plane can vary according to the operator and can be considered as subjective. Today there is no solution available to this problem but ideally a sequence of images could be acquired while varying the focus i.e. in different focal planes. If measurements are required, a microscope with a motorised Z-axis will be necessary in order to precisely interpret this third dimension. This will produce a huge image file and its ease of manipulation will rely heavily on the memory (RAM) available on the computer. Additionally, it will require some programming and tests prior to validation and approval.

 

1.2              Limited field of view

An image may be a single captured image showing the whole structure or a mosaic of captured images (elements) joined to form the whole structure.  When creating a mosaic image it is important that as many of the viewing parameters remain the same for each element of the mosaic.  Mosaics can be built by manually overlaying each element (e.g. with a graphics or photo retouching package) or by using automatic mosaic builders, which attempt to find common areas.  When using automatic mosaic building systems the stability of the viewing parameters is more important than that when building mosaics manually. Altering the viewing parameters can reduce the likelihood of an automatic system finding a correlation between elements.

 

1.3              Image format

Digitisation should be made in a format that does not result in degradation of image quality.  A lossless image format is preferred e.g. TIFF LZW and users should be aware of the manner in which their software manages file compression.

 

1.4              Image ownership

With increasing use of digital images the ownership of an image may become an issue.  For each collection of images, ownership should be detailed and their allowed use specified. Digital watermarking of images is a way of indelibly stamping ownership into an image without materially affecting it.

 

C.       Image annotation

 

When collecting images for a reference collection the previous comments regarding operator preference should be given consideration (part II-A and II-B).

 

The image collection will be composed of calibrated digital images with a resolution that still enables the reader to estimate the age. A graphic interpretation will be associated with each image in order to describe the location of each basic structure identified by the reader as being required for its age estimation. Rejected information produced by the interpretation process (e.g. false annuli) will be also included in the graphic information.

 

Large numbers of images can become a problem to manage. To aid the manager or co-ordinator an agreed file-naming convention should be adopted as one of the first steps in building an image collection.  The convention should take into account the platforms across which the images may be used as some systems may not support extended filenames.

 

1.      Image format

 

If no measurements or back-calculations are required from the image collection then Paintshop-Pro (version 5 and later) can be used as a tool for producing annotated images.  Otherwise the selection of software will be governed by the tools required (see II-A), and similar procedures as described for Paintshop-Pro can be applied.

 

The PaintShop-Pro file format (version 5)  ™ (JASC Corporation, http://www.jasc.com) will be used as the file format with additional layers containing symbols and/or text annotation regarding the interpretation of the image.

Graphic interpretation : Layer Descriptions

 

The layer identified as ‘Background’ contains the image of the calcified structure. When there is a need to merge layers from different files, a square reference point will be marked in an area away from the structure (Figure 1). This reference point must be duplicated in each new layer created by readers. The reference point allows accurate overlaying of marks from different readers into 1 image file for comparison.

 

Figure 11: Reference point in the 'Background' layer.

 

 

Layer identified as "Nucleus", identifies the position of the nucleus with either a dot or a ring.

 

Layer identified as "Rings" contains the agreed checks or rings that the age reader should be attempting to identify. The rings are be identified with dots that contrast with the sample colours.

 

Layer identified as "Info" highlights other features within the image that the reader feels would aid other readers when interpreting the visible structures e.g. false annuli.  These identified features should be backed up with remarks in the text layer.

 

Layer identified as "Text" contains remarks relating to features highlighted in the info layer and comments relating to the image and its interpretation.

 

Co-ordinators should consider the facility to use different colour marks for the parameters they wish to study (Figure 2) e.g. For a between reader analysis a different colour would be used for each reader. Using different colours will also facilitate the post-processing of exchange exercises.

Figure 22: Schematic representation of  a calcified structure image annotated with graphic layers.

 

 

 

 

 


External data file

In addition to the image files, there will be a data file for each image set. This file contains information about the sample, how it was prepared and information on the equipment used to capture the image. The data file will be CSV format with 1 line per image file.

 

Data Required :

1.      Submitting institute

2.      Species: Latin name

3.      NODC code

4.      Institute assigned identifier -- Allows the original sample to be re processed if necessary.

5.      Type of hard part (Otolith, Scale, Statolith, Spine, Vertebra, Tooth)

6.      Length of individual  (mm)

7.      Sex of individual  (M,F,U)

8.      Maturity stage

9.      Estimated age

10.  Known age

11.  Age units (Years, Days, Seasons)

12.  Date of capture (DD/MM/YY)

13.  Position of capture

14.  Image presented by (Contact person in institute)

15.  Preparation method of the sample

16.  Lighting method (Reflected, Transmitted, Polarised, Filtered)

17.  Camera type

18.  Frame grabber type

19.  Image resolution at capture

20.  Magnification (pixel size or calibration for measurements)

21.  Pre-processing completed before submission

22.  Filename -- note possible problems with long filename support on some platforms

23.  File size -- Kb

 

 

2.      Use of digital images for control collections:

 

Digital control collections allow a greater flexibility for quality assurance (QA) procedures as they enable the control of a number of parameters that can affect an age estimate (e.g. lighting, sample degradation).  The problem of sample degradation over time, which reduces precision, is solved with the use of a digital source.  A digital file will remain static for as long as its storage media is viable. The image file would remain in a read-only state on a master device with copies being made each time the image is needed. By providing annotations in addition to age when interpreting a control collection the reader can give the QA manager a way to investigate the source of any detected imprecision.

 

The image format used for control collections will need, as a minimum, the ’Background’ layer (i.e. the basic image of the structure) and the ‘Rings’ layers.  There must be also in place measures to keep track of information on the reader and the date of the estimation (e.g. this may be in the form of agreed filenames).

 

A larger control collection would reduce the problem of ‘reader memory’ memory’ (i.e. recognition of individual otoliths and the recollection of prior age estimates) but requires  larger manpower input at the beginning of the process to capture images and provide a first estimate for each reader. 

 

Although the viewing parameters were fixed when the image was captured it is possible for an age reader to adjust the image by the use of filters (e.g. brightness, contrast, etc). Due to the  effect that digital filters can have on bias in the estimations, the use of such filters should be considered as part of the reading protocol.

 

When a reader is allocated a sample of digital images to read they will be given copies of the master image containing only the ‘Background’ layer. In the process of making their estimation, they will create a new ‘Rings’ layer duplicating the reference square.  They will then mark their interpretation of the structure onto the new layer and save the file.  Once they have completed all the samples required the marked files will be returned to the co-ordinator with their age estimations.  If a problem in precision arises the co-ordinator can discuss the problem with the reader using their interpretation and historically marked images.

 

3.      Use of agreed digital image collections for training

 

Because the images within an agreed collection contain the results of multiple interpretations of the structures they become useful to new readers to see a wider range of interpretations without the need for all the experienced readers to be present.

 

The image format for this type of collection should use all the layer types described above (i.e. IIC1 et seq.). The ‘Rings’ layer should contain the agreed interpretation with additional ‘Rings’ layers containing the interpretation of each of the agreeing readers.

 

4.      validated digital image collections

 

Validated collections are an extremely valuable resource. Digital versions of validated collections would allow much wider use of these collections without the inherent risks involved in transporting original samples.

 

The image format for validated collections should include all the described layer types with text layer including information on or references to the method of validation.

 

 

 

5.      Use of digital images for exchanges

 

One of the major problems with standard sample exchanges is the time-lag as the samples are passed to each reader. In order to increase the speed of the exchange, database and software access might be proposed in different ways:

·        By sending the database on CD-Rom (650Mb) or DVD-Rom (4.7 Gb),

·        By downloading the database from an ftp site.

 

Co-ordinators should survey the participating institutes to identify a suitable level of hardware  compatibility (e.g. the media type to be used for distribution, the operating platform to be used).

 

 

6.      Use of digital images for workshops

 

Digitisation is the first stage in all uses of images and should form part of the introductory session of the workshop.  The protocols used by individual institutes should be available for discussion and the co-ordinator should consider whether it is appropriate to digitise a sample of the structures during the first part of the workshop.

 

The images that will be used in the workshop should, where possible, be digitised to a previously agreed standard.

 

The co-ordinator should consider the use of networked facilities for holding the source images, in a read-only form, and the result images of the workshop sessions.  These files must be included in routine secure backups.

 

At some point during the workshop it will become necessary to discuss images and results in a plenary session and facilities such as a large screen projector connected to a PC should be available.

 

If information such as length, region of capture, season of capture are considered important factors in the estimation of age, it should be made available in an accessible form.  It may be appropriate to include the information as part of each image.

 

 

III.           Prospects for the future

 

A.       Adapted software requirement

 

Using collection management software it would be possible to allocate samples to be read by a selected reader, pass those images to the reader, collect the resulting age estimations and compute agreement levels for constructing an agreed collection. The management software would assist the post-processing of the interpretation results (e.g. compare ring locations automatically, track and report changes in precision and provide additional analyses).

 

B.       Intensification of internet use

A more intensive use of internet would provide a solution for many current problems :

 

·        A virtual workshop would ensure a quick and cheap collection of the data,

·        Standard web browsers may be the solution to the hardware compatibility problems,

·        Remote access to existing software via Web conferencing software (e.g. NetMeeting, Microsoft ä) or to a specific Web-designed software would ensure  interpretative tool harmonisation of tools and protocols and eventually more in a more efficient post-processing of the data.

 

 

 


IV.            References

 

 

 

EFAN, 1998. Report of the EFAN Cell 2 Workshop on the " Establishment of a digital image reference database” held at the University of Porto, 28-29 September 1998, EFAN Report 3/98, Editor: H. Troadec, 42 p.

 

EFAN, 1999. Report of the EFAN Cell 2 Workshop on the Contrast enhancement and                                pre-processing of calcified structure images” held at the Candia Maris Hotel                                Heraklion, Greece, 4-5 October 1999, EFAN Report 1/2000, Editor: H. Troadec, available at :http://www.efan.no/rep2000/C2Rep99.htm.

 

Newton, A. W., 1998. Report of the ICES/FAIR Otolith Ageing of North Sea Whiting Working Group at Hirtshals, Denmark October 1998.

 

 

V.               List of participants

 

Table 1:  Participants of the Cell 2&3 2000 Workshop held in Palma (Spain)

 

First name

Last name

Country

Richard

Ayers

UK

Manuela

Cunha

Portugal

Peer

Doering-Arjes

Germany

Gianfranco

Giannetti

Italy

Toni

Lombarte

Spain

Beatriz

Morales-Nin

Spain

Ana

Moreno

Portugal

Andrew

Newton

UK

Conor

Nolan

Ireland

Sandra

Ramos

Portugal

Filipa

Ribeiro

Portugal

Hervé

Troadec

France