METHOD OF ANALYSIS AND SEGMENTATION OF DIGITAL IMAGES BASED ON DYNAMIC CONTOUR DIVISION

Preliminary analysis of images of the bulk layer of bulk material makes it possible to conclude that most of the images in the process of their formation are exposed to a number of negative factors that lead to distortion, blurring, etc. Therefore, the image must go through a quality improvement phase. The ability to compensate for effects such as shadows and glare on an image is often crucial to the successful execution of a subsequent information processing algorithm [1]. Improving the quality of the image is one of the main goals in its processing. Consider the methods that are proposed to be used to improve the image quality of the bulk layer of agglomerate [9]. In the initial stage, the process is divided into 3 stages [2]: 1. Image Formation. The step of forming an image involves entering an image into a program and pre-processing it [3]. The input of images of the charge layer is carried out using a photo / video camera. The system produces a continuous sequence of images at 60 frames/ sec. The optical axis of the camera, which forms the image, is located perpendicular to the strip of the conveyor with the charge. 2. Preparatory stage. At this stage, the image is transformed into a form that is convenient for further analysis [4] and its preparation for this analysis. 3. Parametric analysis. At the stage of parametric analysis the basic technological characteristics of the bulk material are calculated [13].