Blade area automatic retrieval method based on line detection and template matching

Abstract

The invention relates to the image processing technology, and provides a blade area automatic retrieval method based on line detection and template matching. The method includes the steps of (S1) detecting all lines in an image to be detected; (S2) selecting an odd edge value; (S3) building square to-be-detected blade areas in the image according to the edge value, wherein the positions of the center points of the to-be-detected blade areas are determined through the detected lines; (S4) carrying out template matching on the to-be-detected blade areas through a template matching method so as to obtain related coefficients of the to-be-detected blade areas and templates of the to-be-detected blade areas; (S5) selecting the to-be-detected blade area with the largest related coefficient as a desired blade area; (S6) reducing the edge value and repeating the step S3 if the blade area obtained in the step S5 does not meet preset precision requirements. The method can guarantee quick and automatic retrieval of the blade area under precision conditions.

Description

technical field [0001] The invention relates to an image processing technology, in particular to an automatic retrieval method of a blade region based on straight line detection and template matching. Background technique [0002] With its rapid development, remote sensing technology provides us with earth observation data on a global scale, and it has been widely used in various fields of society such as military affairs, meteorology, and agriculture. However, under the influence of factors such as defocus, relative motion between the scene and the camera, and atmospheric disturbances, there is a considerable degree of image degradation in remote sensing images obtained by satellites in orbit. However, remote sensing images are obtained from remote sensing platforms thousands of kilometers above the ground, and even slight image degradation may lead to serious image recognition errors. So how to obtain the point spread function (PSF) from the remote sensing image to descri...

AI Technical Summary

Problems solved by technology

[0004] However, in this method, the size of the blade area is unknown, so the entire image can only be matched and retrieved from the smallest area. This process requires a large number of matrix operations, which is very time-consuming; area, it is necessary to build templates of multiple sizes in all directions, many of which may not be used, resulting in a large degree of waste, and it is difficult to cover every possible template shape during the construction process, so the entire method have limited accuracy and efficiency

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