Image identification method based on target contour features

Abstract

An image identification method based on target contour features includes calculating similarity according to the target contour features rather than a whole template, analyzing the template according to the similarity to obtain a minimum between class distance, dividing a group through combining the minimum between class distance and fitness in a search process, and obtaining a local extremum rapidly through local search. Image identification is an important topic in the industrial automation field, and particularly how to effectively identify a plurality of targets when targets are staggered is an urgent problem to be solved. According to the image identification method, search efficiency is effectively improved, timeliness of identification is guaranteed, and the method is capable of identifying a plurality of repeated targets in a located scene image efficiently and accurately if applied to detection of semi-conductors and production equipment machine vision systems.

Description

technical field [0001] The invention relates to an image recognition method based on target contour features, which belongs to the image positioning algorithm in the field of machine vision, and is especially aimed at the image positioning of interlaced repeated targets. Background technique [0002] Image recognition is an important issue in the field of image recognition, plays a key role in modern automation equipment, and is an indispensable part of a system that uses machine vision for closed-loop automatic control. The image recognition system needs to recognize all the target images matching the given template image from the scene image in real time, and its recognition efficiency, reliability, and robustness directly affect the performance of the entire automation equipment. Currently popular commercial image recognition systems have been successfully applied to engineering practice. However, these systems are relatively perfect for single-target image recognition, ...

AI Technical Summary

Problems solved by technology

However, these systems are relatively perfect for single-target image recognition, and there are many problems to be solved when dealing with multi-target image recognition.

In particular, when there is an interlacing phenomenon between the targets in the scene, the existing template recognition method cannot correctly reflect the matching degree of the target, so that the recognition accuracy rate is greatly reduced.

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