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A Fast Template Matching Method for Multi-resolution Grayscale Images

A multi-resolution, template matching technology, applied in the field of computer vision, which can solve problems such as speed and accuracy impact

Active Publication Date: 2019-08-30
QINGDAO ITECHENE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method will improve the matching speed and accuracy to a certain extent, its speed and accuracy are affected by the size of the block image

Method used

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  • A Fast Template Matching Method for Multi-resolution Grayscale Images
  • A Fast Template Matching Method for Multi-resolution Grayscale Images
  • A Fast Template Matching Method for Multi-resolution Grayscale Images

Examples

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Embodiment Construction

[0062] In the following, with reference to the accompanying drawings, how a fast multi-resolution grayscale image template matching method of the present invention establishes a multiresolution integral image in a grayscale image, and uses the multiresolution integral image to perform template matching will be further described in detail.

[0063] In a fast multi-resolution grayscale image template matching method of the present invention, a camera is used to acquire a template image T and an image S to be matched. The camera may be a CCD type camera or a CMOS type camera. The template image T is an image captured by a camera and processed by an image processor that only contains a complete object, and the edge of the template image T is the edge of the object. The image processor is a device with image processing function. The object can be any part that needs to be measured, positioned and detected in machine vision applications. The image S to be matched is an image inclu...

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PUM

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Abstract

The invention relates to a fast multi-resolution grayscale image template matching method, comprising the following steps: establishing a multi-resolution integral image of a template image rotated at various angles; establishing a multi-resolution integral image of an image to be matched; making the template image The lowest resolution integral image is traversed and matched on the lowest resolution integral image of the image to be matched, and the target candidate area and the corresponding template angle are obtained; the template image is matched with the integral image with a higher resolution of the image to be matched to obtain The new target candidate area and the new template angle; repeat the previous step, if both the template image T and the image to be matched have reached the highest resolution integrated image, the final matching result will be obtained. The present invention optimizes the amount of calculation and reduces the time-consuming matching by establishing a multi-resolution integral map of the grayscale image; the present invention also adopts the method of first enlarging the image and then looking up the table to obtain the gray value at each pixel of the template image after rotation. The degree value reduces the time-consuming while reducing the aliasing phenomenon of the rotating image.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a fast multi-resolution grayscale image template matching method. Background technique [0002] With the development of science and technology, the measurement, positioning, and detection of parts in industrial production applications are gradually transitioned to be completed by robot vision guidance systems. To complete these functions, the robot vision guidance system needs to locate the part to be tested first, and the most widely used technology is template matching. Template matching algorithms can be divided into component-based template matching, shape-based template matching and grayscale-based template matching according to the different analysis methods of images captured by the vision guidance system. Among them, the template matching based on gray scale is to calculate the correlation coefficient of the template image of the part to be tested and each group of corresp...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V10/758
Inventor 李东
Owner QINGDAO ITECHENE TECH CO LTD
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