1.Fishery Engineering Institute, Dalian Ocean University, Dalian 116023, China; 2. College of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Abstract: A scallop identification and classification method is proposed based on neural network to need the timeliness and robustness requirements of scallops sorting by computer vision aided robot automatically. Firstly, color image was converted into graying image, and object edges were detected by a canny operator on the binary image. Secondly, the pixel coordinates of object edges were extracted by eight neighborhood tracking method, and the mean and variance of the distance between image edge and image center were computed. Finally, BP neural network was trained to classifier of scallops using the mean and variance of the distance as classification feature. Experimental results indicated that the neural network classifier quickly and correctly completed the identification and gradation of scallops.
2014, Vol. 29 
