Segmentation of Somatic Cells in Goat Milk Using Color Space CIELAB
Segmentation of Somatic Cells in Goat Milk Using Color Space CIELAB作者机构：Department of Mathematics Federal Institute of Bahia Barreiras Bahia 47808006 Brazil Department of Veterinary Medicine University ofSao Paulo Sao Paulo 05508270 Brazil Department of lnstrumentation Automation and Robotics Federal University of ABC Santo Andrk Sao Paulo 09210580 Brazil Department of Electrical Engineering Federal University of Bahia Salvador Bahia 40210630 Brazil
出 版 物：《Journal of Agricultural Science and Technology(A)》 (农业科学与技术（A）)
年 卷 期：2014年第4卷第10期
页 面：865-873页
学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 083203[工学-农产品加工及贮藏工程]
主 题：Image processing distance transform segmentation somatic cells.
摘 要：Somatic cell counts （SCCs） levels indicate the occurrence of infections in goat udders and are related to the productivity of goat milk, cheese and yoghurt. This work presents a segmentation method for counting somatic cells in goat milk images, intending to detect an infection known as mastiffs, which is the major cause of loss in dairy farming. The image segmentation procedure is devised by using the lab color space and the watershed transform. A large number of samples under variable preparation conditions are treated with the proposed method. A comparison between manual and the proposed technique is presented. Promising results indicates that video-microscopy systems may be employed to develop automated SCC for goat milk.
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