Image processing-based target fish recognition method and system

TL;DR: In this paper, an image processing-based target fish recognition method was proposed, which comprises the following steps: acquiring a fish body color image; performing image segmentation on the fish body colour image to acquire a target image; extracting the color feature, the texture feature and the shape feature of the target image to obtain comprehensive feature vectors; and performing classified processing on a test set combined by the comprehensive feature vector by using an RBF (Radial Basis Function) neural network to recognize whether a fish is a target fish.

Abstract: The invention discloses an image processing-based target fish recognition method and system. The image processing-based target fish recognition method comprises the following steps: acquiring a fish body color image; performing image segmentation on the fish body color image to acquire a target image; extracting the color feature, the texture feature and the shape feature of the target image to obtain comprehensive feature vectors; and performing classified processing on a test set combined by the comprehensive feature vectors by using an RBF (Radial Basis Function) neural network to recognize whether a fish is a target fish. According to the method and the system, the color, the texture, the shape and the like of the fish body are quickly and automatically extracted through an image processing technology to judge the features required for the status of the fish, and whether the fish is the target fish is quickly recognized through the RBF neural network, so that the recognition speed of the target fish is improved.