Image Processing System Using Line Segment Detection for Outline Matching
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Solution Overview
Problem
Existing image processing technologies, such as those described in Patent Literature 1, require the extraction of numerous feature points from target object images, leading to increased processing loads on computers, particularly when processing successive images from a smartphone camera.
Innovation Solution
An image processing system that includes image acquisition, line segment detection, information acquisition, and processing means to detect line segments on the outer side of a target object image, acquire information about the object's outline, and process the image to match or approximate a predetermined outline, thereby reducing processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature point extraction is used for image processing, then the outline matching accuracy is improved, but the processing load on the computer increases
Solution Approach 1:
The patent extracts only the essential line segments that form the outer contour of the target object, rather than extracting all feature points. This selective extraction of critical boundary elements reduces the data volume while maintaining sufficient information for accurate outline matching and image processing.
Solution Approach 2:
The patent uses line segment detection as a simpler, more efficient alternative to complex feature point extraction. Line segments are computationally cheaper to detect and process, providing a lightweight solution that reduces processing load while still enabling effective outline-based image processing tasks.
2Manufacturing precision
If feature point extraction is performed on successive images, then the image processing quality is improved, but the processing time increases
Solution Approach 1:
The patent extracts only the essential line segments that form the outer contour of the target object, rather than extracting all feature points. This selective extraction of critical boundary elements reduces the data volume while maintaining sufficient information for accurate outline matching and image processing.
Solution Approach 2:
The patent changes the detection parameter from comprehensive feature point extraction to specific line segment detection. This parameter change focuses computation on boundary elements only, significantly reducing processing time for successive images while maintaining adequate quality for outline-based processing tasks.
3Measurement precision
If comprehensive feature point extraction is used, then the image processing accuracy is improved, but the device requirements increase
Solution Approach 1:
The patent extracts only the essential line segments that form the outer contour of the target object, rather than extracting all feature points. This selective extraction of critical boundary elements reduces the data volume while maintaining sufficient information for accurate outline matching and image processing.
Solution Approach 2:
The patent uses line segment detection as a simpler, more efficient alternative to complex feature point extraction. Line segments are computationally cheaper to detect and process, providing a lightweight solution that reduces processing load while still enabling effective outline-based image processing tasks.
Data Source
AI summary
At least one processor of an image processing system acquires a target object image including a target object. The at least one processor detects, from the target object image, a plurality of line segments located relatively on an outer side based on predetermined line segment detection processing. The at least one processor acquires, based on the plurality of line segments, information about an outline of the target object in the target object image. The at least one processor processes, based on the information, at least a part of the target object image so that the outline matches or approximates a predetermined outline.