Image Processing Moire Detection via Edge Pixel Counting
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Solution Overview
Problem
Current methods for detecting moire patterns in images captured by smart devices are inefficient, as they often require space conversion, which lowers detection efficiency.
Innovation Solution
A method involving edge detection to determine the number of edge pixel points in an image, where a threshold is set to quickly identify the presence of moire patterns without the need for space conversion, improving processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If space conversion is performed to detect moire patterns, then detection accuracy is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent extracts the essential feature for moire pattern detection by performing edge detection to obtain edge pixel points, rather than performing complete space conversion. This extraction approach maintains detection accuracy while significantly reducing processing complexity and time, directly resolving the contradiction between detection accuracy and processing efficiency.
2Productivity
If edge detection is performed to identify moire patterns, then processing speed is improved, but detection reliability may deteriorate
Solution Approach 1:
The patent changes the detection parameter from complete spatial frequency analysis to edge pixel point counting. By setting a threshold for the number of edge pixel points, the method maintains reliable moire pattern detection while achieving faster processing speed, thus resolving the contradiction between processing speed and detection reliability.
Data Source
AI summary
A method for image processing includes the following. Edge pixel points in the image to be processed are determined by performing edge detection on the image to be processed. The number of the edge pixel points in the image to be processed is determined as a first pixel number. Determine that a moire pattern exists in the image to be processed when the first pixel number is larger than a first number threshold.