Image Processing Device Estimating Shape Elements Amid Mixed Geometry
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Solution Overview
Problem
Existing image processing methods struggle to maintain estimation accuracy when multiple shape elements are present in the measurement target region, leading to reduced precision and positional deviations.
Innovation Solution
The proposed image processing device employs a combination of data purification and shape-fitting processing, which includes feature extraction, recognition selection, and noise removal to isolate and estimate the target shape element from a mixture of shape elements, using techniques such as gradient calculation, edge peak-point determination, shape recognition, and noise removal modules to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing methods are used to estimate shape elements, then measurement precision can be maintained for single shape elements, but estimation accuracy deteriorates when multiple shape elements are mixed in the measurement target region
Solution Approach 1:
The patent segments the measurement target region into multiple regions, each containing a different shape element. By dividing the complex measurement task into smaller sub-tasks for each region, the system can accurately estimate each shape element independently even when multiple different shape elements are present in the overall measurement target, thereby resolving the contradiction between maintaining measurement precision and handling multiple shape elements.
2Measurement precision
If noise removal techniques are applied to enhance measurement precision, then estimation accuracy improves for single shape elements, but the ability to handle multiple mixed shape elements deteriorates
Solution Approach 1:
The patent extracts and removes shape elements one by one from the measurement target region. By sequentially extracting each shape element and removing it from the measurement data, the system eliminates interference from mixed shape elements, allowing accurate estimation of each individual shape element while handling multiple mixed elements effectively.
3Measurement precision
If straight line element detection methods are used from edge positions, then positioning accuracy can be achieved for simple cases, but measurement precision deteriorates when multiple shape elements are present
Solution Approach 1:
The patent segments the measurement target into multiple regions based on the positions and characteristics of different shape elements. By determining straight line elements separately for each segmented region rather than treating the entire measurement target as a single entity, the system maintains positioning accuracy even when multiple shape elements are present, avoiding the deterioration of measurement precision.
Data Source
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AI summary
The invention provides an image processing device, an image processing method, and an image processing program capable of maintaining estimation accuracy even when an input image of a processing target includes a plurality of shape elements. The image processing device includes: a recognizing unit that recognizes one or more shape elements which are included in the input image from a feature amount included in the input image; a selecting unit that selects a desired shape element out of the recognized one or more shape elements; and an estimating unit that estimates a target shape element from information of a region corresponding to the selected shape element.