Use of Hyper– And Multi–spectral Imaging for Detection of Chicken Skin Tumors

Hyperspectral and multispectral imaging techniques were used to detect chicken skin tumors. Hyperspectralimages of eight tumorous chickens were taken in the spectral range of 420 to 850 nm. Principal component analysis wasapplied to select useful wavelength bands (465, 575, 705 nm) from the tumorous chicken images. A multispectral imagingsystem capable of simultaneously capturing three registered images was used to image 60 tumorous and 20 normal chickens.Multispectral image analysis was performed to generate ratioed images, which were then divided into regions of interest(ROIs) classified as either tumorous or normal by a veterinarian. Image features for each ROI (coefficient of variation,skewness, and kurtosis) were extracted for use as inputs to fuzzy classifiers. The fuzzy classifiers were able to separate normalfrom tumorous skin with increasing accuracies as more features were used. In particular, use of all three features gavesuccessful detection rates of 91 and 86% for normal and tumorous tissue, respectively.