Abstract
The paper presents modification of the image contour segmentation method based on Canny method. A distinctive feature of proposed approach is the usage of wavelet-functions as underlining transformation. It allows to obtain a sequence of hierarchical object contour preparations with an adjusted detailing. This approach is a part of the object recognition information technology that significantly reduces the size of information processing of video surveillance system.
Highlights
Advances in information technology made possible increasing of the video surveillance systems functionality without great financial costs
It is obvious that this approach allows to increase the amount of video sensors as well as video transmitting devices, hardware and software for video processing [5, 6]
One of the main goals of the use of modern video processing systems is the interpretation of the image content
Summary
Advances in information technology made possible increasing of the video surveillance systems functionality without great financial costs. Methods allowing to reduce the amount of processed information are relevant today. High quality of image segmentation can be achieved by contour detection This reduces greatly the amount of data for image processing, and at the same time stores the important information about the objects in the image, such as their shape, size, number [7,8,9,10,11,12,13]. Segmentation methods based on the object contour detection are often applied [15, 16]. They refer to segmentation algorithms based on brightness breakups. The issue of the development of the contour image segmentation methods is relevant today
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