Image analysis-based quantification of the visual attributes of fish, with emphasis on color and visual texture.

Autor: Gümüş, Bahar, Gümüş, Erkan, Odabaṣı-Kırlı, Aslı, Balaban, Murat O.
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Zdroj: International Journal of Food Engineering; May2022, Vol. 18 Issue 5, p411-423, 13p
Abstrakt: Keywords: color; goatfish; machine vision; Parupeneus forsskali; sensory analysis; visual texture EN color goatfish machine vision Parupeneus forsskali sensory analysis visual texture 411 423 13 06/01/22 20220501 NES 220501 1 Introduction The Red Sea goatfish I Parupeneus forsskali i (Fourmanoir and Guézé, 1976) is a tropical fish distributed throughout the Red Sea and Gulf of Aden region. Graph: Figure 2: Example of red, green, blue, and grayscale histograms for Fish 6, at days 1 and 7. 3.1 Visual texture analysis Table 3 presents the results of histogram-based energy calculations for R, G, B, and GS histograms. A total of 18 fish images that made up the testing set were evaluated for the intensity of visual texture on a line scale that was anchored with smooth and rough on each end. Gebejes et al. [[25]] used images from a texture database to show to observers, eight images at a time, and they were asked to order these images by their texture strength. [Extracted from the article]
Databáze: Complementary Index