Short Line Filtering Method for Image Recognition

Abstract

The invention discloses a short line filtering method for image recognition. An area in the image, identify all the lines in the area, and sort them by the span size, calculate the clutter of the lines in each span interval; select the span of the line that makes the clutter of the lines in the span interval decline significantly from the candidate thresholds As a threshold for short line filtering; lines with a span smaller than the span threshold in the image are removed from the image. The present invention selects a reasonable short-line filtering threshold according to the change law of the messy degree of the lines in the image, filters out the messy and meaningless short lines in the image, improves the efficiency of subsequent further image processing of the image, and reduces irrelevant lines in the image. The effect of objects on image processing.

Description

A Short Line Filtering Method for Image Recognition technical field The invention belongs to the field of computer vision, be specifically related to a kind of short line filtering method of image recognition. Background technique [0002] Currently in the field of computer vision, line detection algorithms are often used in some tasks. straight line data do It is the underlying input for subsequent computer vision tasks and determines the reliability of the final result of the task to a certain extent. for absolutely For a large number of line detection algorithms, a large number of short lines will be generated in line detection due to its own algorithm or image factors. straight lines, and most of these short straight lines will not bring benefits to subsequent visual tasks, or even cause interference and cause strong Noise thus affects the final task result. The existing filtering methods for short straight lines are all directly after the straight line detectio...

AI Technical Summary

Problems solved by technology

For the vast majority of line detection algorithms, a large number of short lines will be generated in the line detection due to their own algorithm or image factors, and most of these short lines will not bring benefits to subsequent visual tasks, or even It will cause interference and cause strong noise, which will affect the final mission result

The existing filtering methods for short straight lines are to directly remove some of the short straight lines after the straight line detection. The method is relatively direct and rough, and lacks systematic and scientific analysis.

For different line detection algorithms and images with different resolutions, the distribution of short lines will be different. Directly filtering short lines in this way may not meet the task requirements and affect the accuracy of the final result of the task.

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