Konovalov, D.A., Domingos, J.A., Bajema, C., White, R.D., and Jerry, D.R. (2017) Ruler detection for automatic scaling of fish images. In: Proceedings of the International Conference on Advances in Image Processing. pp. 90-95. From: ICAIP 2017: International Conference on Advances in Image Processing, 25-27 August 2017, Bangkok, Thailand.

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Abstract

Fast and low-cost image collection and processing is often required in aquaculture farms for quality/size attributes and breeding programs. For example, the absolute physical dimensions of fish (in millimeters or inches) could be estimated from electronic images. The absolute scale of the photographed fish is often unknown or requires additional hardware, data- collection and/or management overheads. One cost and time effective solution is to capture the absolute scale (in pixels-per- millimeter or dots-per-inch) by including a measuring ruler in the photographed scene. To assist that type of workflow, this paper presents a relatively simple image-processing algorithm that automatically located a sufficiently large section of the ruler in a given image. The algorithm utilized the Fast Fourier Transform and was designed to be free from adjustable parameters and therefore did not require training. The algorithm was tested on 445 images of Barramundi (Asian sea bass, Lates calcarifer), where a millimeter-graded ruler was included in each image. The algorithm achieved precision of 98% (on the original, 10, 20, 70, 80 90 degree rotated images) and 95-96% on 40, 50, 60 degree rotated images. The test Barramundi images were released to public domain (on this publication) via https://github.com/dmitryako/BarraRulerDataset445.

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