Image matching method based on polygon generalized Hough transform

Abstract

The invention discloses an image matching method based on polygon generalized Hough transform. The method includes: (1) off-line stage: (1.1) performing edge extraction and polygon fitting of a template image; (1.2) building an R-Table table by employing the local triangle characteristics and the vector relation between the vertex and a reference point of the template image; (2) on-line stage: (2.1) performing edge extraction and polygon fitting of a target image; and (2.2) voting for the target image; the position point with the highest vote is regarded as a matching point corresponding to the reference point of the template image so that the corresponding relation between the vertex of the polygon of the template image and the vertex of the polygon of the target image is determined, and parameters for displacement, rotation and zooming between the template image and the target image are determined. The method is used for real-time positioning of objects in RFID manufacturing equipment and LED manufacturing equipment, and the robustness and the precision are good.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image matching method based on polygonal generalized Hough transform. Background technique [0002] IC packaging products are developing toward integration and miniaturization, requiring IC electronic packaging equipment to have high-speed, high-precision positioning capabilities, so that chips can be picked and placed quickly and accurately. Vision-based localization is a common machine vision method, which is often used to predict the pose of similarly transformed objects. Typically, these objects are recorded with cameras in automated production equipment. Its accuracy and calculation will directly affect the efficiency and performance of automated production equipment. Due to the development of automated production technology, high-speed vision positioning is in great demand in high-performance robots and equipment, especially IC packaging and manufacturing. [0...

AI Technical Summary

Problems solved by technology

However, the traditional generalized Hough transform has a disadvantage. Because it uses a four-dimensional voting parameter space, it has a high time complexity and a large memory footprint. It has poor robustness and low matching accuracy.

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