Measurement of injury rate on fish skin and performance comparison based on L*A*B* and HSV color spaces

Abstract

This paper analyses and compares the performance of L*A*B* and HSV color spaces and applies them to calculate the injury rate on fish. To do these issues, the following steps are done. An original image is transformed into L*A*B and HSV color spaces. A channel “a” is separated from L*A*B* color space. In channel a, a formula to adjust “channel a value” is proposed to realize the shapes of injury on fish clearly and a new channel a is obtained by adjusting the channel a. The new channel “a” is converted into injury binary image by manual threshold. Otsu’s method is applied converted the original channel a image of fish shape into binary image. Finally, by calculating the number of pixels of areas of shape and total injury of fish, the injury rate is calculated. The steps of image processing of HSV color space is similar to L*A*B* color space. The proposed process are tested on fish.