Detection of Skin Tumors on Chicken Carcasses Using Hyperspectral Fluorescence Imaging

This article presents a method for detecting skin tumors on chicken carcasses using hyperspectral fluorescenceimaging data, which provide fluorescence information in both spectral and spatial dimensions. Since these two kinds of informationare complementary to each other, it is necessary to exploit them in a synergistic manner. Chicken carcasses are examinedfirst using spectral information, and the results are used to determine candidate regions for skin tumors. Next, a spatialclassifier selects the real tumor spots from the candidate regions. It was shown that the method detected chicken carcasseswith tumors, but failed to detect some tumors that were smaller than 3 mm in diameter. This study uncovered meaningful spectralbands for detecting tumors using hyperspectral imaging data. A detection system based on this method can improve thedetection rate, and processing time can also be reduced, because the detection procedure is simplified by using a limited numberof features, which reduces computational complexity. The resultant detection rate, false positive rate, and missing rateof the proposed method are 76%, 28%, and 24%, respectively.