Analysis of the image segmentation method for wave field patterns
The article was written as part of the neocognitron neural network research for recognizing geological and physical model of the medium (GPMM). The task of recognition involves the intellectual processing of the information received, which presents certain difficulties: feature extraction, resource intensity, speed and quality. The recognition procedure is applied to the image and ensures its conversion. The subsequent processing of such a description allows to refer the original image to one of several classes. One of the important stages in the image recognition system is its segmentation. Segmentation divides an image into multiple non-intersecting areas that are visually distinct, uniform and significant in relation to several qualities or processed properties. This allows you to simplify the subsequent analysis of homogeneous areas of the image, their brightness and geometric characteristics. The result is a multitude of segments (regions) completely covering the original image. The article provides an analysis of the method of segmentation of the wave field pattern, namely the detection of boundaries on the brightness difference. To search for the boundaries of the segments, the differential geometry apparatus is used: Roberts, Prewitt, Sobel filters and Canny algorithm. In this paper, a segmentation of the wave field image is performed using each filter. At the research stage of the above filters, it is advisable to use the MATLAB application package, which is used to solve various technical problems, including digital image processing. Using the functions of the Image Processing Toolbox, it searches for and calculates the features of objects. The article discusses the algorithms of each filter, identifies the main advantages and disadvantages.