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Circular operator based image edge extraction method and apparatus

An image edge and operator technology, applied in the field of image processing, can solve the problem that the edge structure cannot be extracted

Inactive Publication Date: 2016-07-06
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can only extract the edge information of the local 2×2 pixel or 3×3 pixel texture primitive size, and cannot extract the edge structure of other scales

Method used

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  • Circular operator based image edge extraction method and apparatus
  • Circular operator based image edge extraction method and apparatus
  • Circular operator based image edge extraction method and apparatus

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0028] figure 1 It is a schematic diagram of four edge detection operators in the prior art.

[0029] like figure 1 As shown, among the four edge detection operators in the prior art,

[0030] Among them, the Robert operator includes two templates, a 45° template and a 135° template, and the detection scale of each template is 2×2;

[0031] The canny operator includes 2 templates, 0° template and 90° template, and the...

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PUM

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Abstract

The present invention discloses a circular operator based image edge extraction method and apparatus. The method comprises the following steps: acquiring a to-be-measured image, wherein the to-be-measured image comprises a plurality of textons; based on one or more groups of circular operators, performing image edge extraction calculation on a texton in the to-be-measured image from multiple directional angles, wherein the texton is matched with the size of an operator template in a current circular operator group, so as to obtain an edge identification value of a central pixel point of the texton; and performing binarization processing on the edge identification value of each central pixel point in the to-be-measured image, so as to obtain an edge extraction result of the to-be-measured image. According to the method disclosed by the present invention, image edge extraction at multiple selective directional angles and multiple selective scales is achieved, which enables extracted edge information to be more obvious and edge extraction effects to be better, and the operator template can be flexibly selected according to the requirement of to-be-achieved edge extraction effects, so that the operation is freer.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image edge extraction method and device based on a circular operator. Background technique [0002] Edge is one of the most basic features of an image, which contains most of the feature information of the image. It is the main feature means of image processing and pattern recognition. Image edge detection has become one of the key research hotspots. The edge detection operator of nature and extraction effect. Through edge detection, the target and the background can be separated, the image analysis can be simplified, and the edge information that can accurately represent the image can be extracted. [0003] The neighborhood centered on the pixel to be processed is used as the basis for grayscale analysis to realize the detection and extraction of image edges. Based on this feature, predecessors proposed related gradient edge detection operators, such as Robert oper...

Claims

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Application Information

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IPC IPC(8): G06K9/46
CPCG06V10/44
Inventor 王瑜张娜闫怀鑫肖洪兵
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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