期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：7
出版社：S.S. Mishra
摘要：In Present scenario there is a need for the classification of prawn species with more accuracy. Recognition of an image is a rapid, economic, consistent, objective check and evaluation technique. Researchers had been doing research in this area for so long in the recent years due to deformation, noise, segmentation and obstruction of objects in digital images. Pattern identification can perform many functions in an aquatic processing line: sorting by species, by size, by gender, by visual quality attributes and automated portioning. Histogram of an image is a chart that shows the division of the different intensities in an image . This paper proposes a method of classifying prawn species based on the analysis of the Histogram values. In this work, three different penaeid prawn species include genus Penaeus monodon, Penaeus Indicus and Vannamei. The features of these prawn species are to be compared and to identify to which category it is related. Designing an automatic prawn species recognition system is necessary and most useful as it can perform effective and speedy recognition of prawns
