Visual inspection algorithm for outline

Abstract

The invention discloses a visual inspection algorithm for an outline. The algorithm comprises the following steps that: extracting a workpiece sub pixel edge, carrying out denoising and outline supplementation, carrying out outline matching, and carrying out deviation calculation. By use of the visual inspection high-accuracy algorithm for workpiece outline defects, firstly, the workpiece outlineis extracted, then, the outline matching is carried out on the basis of shape context features, accurate matching is carried out according to an iterative closet point algorithm, and finally, a matching deviation is calculated through a neighbourhood method. According to the comparison of a great quantity of experiments, the visual inspection method for the outline can accurately detect the outline defects of any shape of the workpiece, and detection accuracy can be 0.5 pixel. When the method is applied to industrial detection, the processing and the production of precise firmware can be intelligently detected at high accuracy, and production efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of machine vision detection, in particular to a contour vision detection algorithm, in particular to a contour vision detection algorithm based on shape context features and iterative closest points to accurately detect the contour size of a workpiece with any shape. Background technique [0002] With the rise of automated production in modern manufacturing, many industries have put forward higher requirements for inspection and measurement in industrial production. For example, the inspection of printing and packaging process, the packaging inspection of semiconductor chips, the product qualification inspection of factory production line, the inspection of high-precision spare parts, etc. In these applications, most automated factories require mass production, especially for some special spare parts, chips, instruments, etc., the accuracy requirements are very high. The traditional manual inspection method...

AI Technical Summary

Problems solved by technology

Although these research works have made the contour segmentation and fitting process more and more robust and accurate, but these methods can only detect regular-shaped workpiece contours.

Considering the various shapes of the actual workpiece, the contour may be composed of irregular curves, but there is no literature or report on the current research on the irregular contour visual detection algorithm.

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