Research on Digital Image Recognition Algorithm Based on Modular Intelligent Image Recognition

Image is no stranger to us, it is obtained by observing the objective world with various observation systems in different forms and means, and can directly or indirectly act on human eyes and then produce visual perception. The purpose of image recognition is to process image information automatically by computer, instead of human to complete the task of image classification and recognition. In this paper, the Canny algorithm is analyzed. The Canny algorithm uses Gaussian filter to smooth the image to remove the influence of noise on the detection results. Therefore, based on modular intelligent image recognition, this paper uses four directions in a
$3\times 3$
neighborhood to calculate gradient amplitude and direction. This method of calculating gradient amplitude and direction considers diagonal direction, which improves the accuracy of edge location and suppresses some noises. It can be seen from the experimental results that Canny edge detection algorithm can perfectly detect the edge of objects.