关键词: 彩色图像, 边缘检测, 模糊熵, BP神经网络

Abstract: An improved method of color image edge detection based on fuzzy entropy and BP neural network is presented.Firstly，the R、G、B of the color image are extracted and the combination of the three components is computed in the RGB color space.Through quoting fuzzy entropy，four information measures fuzzy entropy-based to describe the edge feature of color image are constructed and a feature vector is composed of the four measures components.Then through the training with the feature vector samples calculated from training images，the BP neural network acquires the function of a desired edge detector.Finally，the trained BP neural network is used for edge detection directly.The method is fully considered between the color components and their correlation in the color space.Besides，both the architecture and the training of BP neural network are simple.The experiment’s result proves that this method has the strong retention capacity of details and is more sensitive to weak edge detection.

Key words: color image, edge detection, fuzzy entropy, BP neural network