Image edge detection method

A detection method and image edge technology, applied in the field of target detection, can solve problems such as blurred target imaging, difficulty in extracting image edge information, and inconspicuous effects

Inactive Publication Date: 2015-06-24
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

[0003] However, when imaging a space target, because the imaging is affected by atmospheric turbulence and imaging system noise, the target imaging is blurred. Therefore, the effect of using the edge extraction algorithm in the prior art is not obvious, and it is difficult to extract the edge information of the image.

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Embodiment Construction

[0032] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments.

[0033] This embodiment provides a method for detecting the edge of an image.

[0034] figure 1 It is a schematic flowchart of an image edge detection method in an embodiment of the present invention. Such as figure 1 As shown, the image edge detection method in the embodiment of the present invention mainly includes the following steps:

[0035] Step 101: Filter out noise in the spatial target image.

[0036] Since the original spatial target image generally includes a lot of noise, it will cause serious interference to the edge extraction of the image, and obtain a lot of false edges and false textures, thereby affecting the accuracy of the subsequent segmentation processing. Therefore, in this step, the spatial target image will be denoised to fil...

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Abstract

The invention discloses an image edge detection method. The method includes the steps of filtering out noise in spatial target images, calculating the morphological gradient of the images in a single scale, obtaining multi-scale morphological gradient images through calculation according to the morphological gradient of the images in the single scale, determining the position of a maximum value point in the multi-scale morphological gradient images, selecting a corresponding morphological gradient edge through a zero-crossing point position template, removing false edges according to a preset threshold, reserving the trunk of a target edge, removing fragments in the edge, and obtaining edges of the special target images. By means of the image edge detection method, edge information of the spatial target images can be effectively extracted.

Description

Technical field [0001] The present invention relates to the technical field of target detection, in particular to a detection method of image edges. Background technique [0002] Edge detection is very important to distinguish between target and background and target components in spatial target adaptive images. Edge is an important feature information in the geometric shape recognition of space objects, and it is also conducive to the intuitive display of the structure of space objects. At present, the essence of widely used edge extraction algorithms (for example, Sobel, Canny, etc.) is based on the first-order and second-order derivative features at the edges of the image. For example, Canny operator also considers the connectivity of image edges, so it is widely used for edge extraction of ordinary images, and has achieved good results. [0003] However, when imaging a space target, because the imaging is affected by atmospheric turbulence and imaging system noise, the target...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 杨扬许元男王淑华
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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