Rectangular-target identification method based on multiple channels and multiple threshold values

A target recognition, multi-threshold technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problems of insufficient use of color information, inaccurate recognition, etc., to achieve good universality, enhance accuracy, reduce dependent effect

Inactive Publication Date: 2014-07-09
CHANGZHOU UNIV
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem that the existing rectangular target recognition only utilizes the gray information of the image but does not make full use of the color information, and the pr...

Method used

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  • Rectangular-target identification method based on multiple channels and multiple threshold values
  • Rectangular-target identification method based on multiple channels and multiple threshold values
  • Rectangular-target identification method based on multiple channels and multiple threshold values

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Embodiment

[0033] Embodiment: utilize the present invention to such as figure 2 The image shown is for rectangular object recognition. The detailed steps are as follows:

[0034] 1. Read in the original image I 0 , first downsampling through the pyramid, and then removing image noise through the upsampling method: Suppose I 0 The height of the image is H, the width is W, and K is a Gaussian kernel matrix. The selection of K satisfies the four conditions of separability, symmetry, normalization, and equality of contribution of parity items (see Sun Yuqiu, Tian Jinwen, Liu Jian. Based on Fractal Dimension Fusion Algorithm for Image Pyramid. Computer Applications, 2005, 25(5): 1064-1065). Usually the size of the matrix is ​​5×5, and the K matrix is ​​deduced according to the four conditions that K satisfies:

[0035] K = 1 256 1 4 ...

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Abstract

The invention relates to a rectangular-target identification method based on multiple channels and multiple threshold values. The identification method comprises the following steps of removing image noise from an original image through pyramid downsampling at first and then pyramid upsampling; extracting each channel image in the original image; setting N gray levels, and conducting binaryzation on each channel image by making the threshold values Tg be equal to 255/n; conducting region labeling on the binarized images, and extracting the outline of each region; using polygons for approximating each peripheral outline, and recording the coordinates of vertexes of each polygon; selecting the polygon with the number of vertexes being four, and calculating each interior angle of the quadrangle; deterring that the region surrounded by the quadrangle is a rectangular target if each interior angle of the quadrangle approximates 90 degrees. The rectangular-target identification method can solve the detection problem that rectangular targets in various colors exist in one image; meanwhile, the multiple threshold values are adopted for conducting image binaryzation, and the detection accuracy rate of the rectangular targets is greatly increased.

Description

technical field [0001] The invention relates to the fields of digital image processing and pattern recognition, in particular to a multi-channel and multi-threshold-based rectangular target recognition method. Background technique [0002] Rectangular object recognition is one of the important contents in the field of digital image processing and pattern recognition. It plays a very important role in the online quality inspection of printed matter, printed circuit board quality inspection, license plate recognition system, automobile auxiliary driving system design and product parts intelligent sorting system. role. [0003] Rectangular object recognition methods can basically be divided into two categories: one is to directly detect lines from the image, and then judge whether the lines are parallel, and finally judge whether these parallel lines can form a rectangle; the other is to perform regional analysis on the image , to judge whether each area satisfies the rectangl...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/54
Inventor 程起才周晓东张继王洪元郑剑锋宦娟
Owner CHANGZHOU UNIV
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