Region Specification Apparatus Using Pixel Percentage Reference
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Solution Overview
Problem
Existing region specification methods struggle to accurately identify subject regions in images when the outline is not completely closed or when inside pixel groups have a high pixel percentage, leading to inappropriate specification of subject regions.
Innovation Solution
A method that calculates the image boundary pixel number of divided regions and specifies a reference region with a predetermined pixel percentage, allowing for accurate subject region specification by taking the reference region as a reference, without requiring a completely closed outline or calculating the bottom image boundary pixel number.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the outline is not completely closed, then the region specification becomes ambiguous, but requiring a completely closed outline increases the complexity of operation
Solution Approach 1:
The image is divided into multiple divided regions by the borderline, and a reference region is selected from these divided regions based on pixel percentage criteria. This segmentation approach allows the system to handle open or incomplete outlines by working with discrete regions rather than requiring a complete closed loop.
Solution Approach 2:
The invention uses pixel percentage as a quantitative parameter to identify the reference region. By calculating the pixel percentage of each divided region and comparing it against a predetermined threshold, the system can automatically select the appropriate reference region even when the borderline is not completely closed, thus resolving the contradiction between ease of operation and reliability.
2Device complexity
If the inside pixel group has high pixel percentage, then the simple pixel value change method fails, but complex processing increases the device complexity
Solution Approach 1:
The image is segmented into divided regions by the borderline, and the reference region is identified based on pixel percentage. This segmentation allows the system to distinguish between inside and outside regions, enabling accurate subject region specification even when inside pixel groups have high pixel percentages, without requiring complex processing.
Solution Approach 2:
The invention introduces pixel percentage as a key parameter for identifying the reference region. By using this parameter, the system can automatically determine whether simple pixel value change is sufficient or if more sophisticated region identification is needed, thus maintaining device simplicity while ensuring measurement precision.
3Measurement precision
If bottom image boundary pixel number is calculated, then the subject region can be specified, but the calculation process becomes more complex
Solution Approach 1:
The invention replaces the complex bottom image boundary pixel number calculation with a simpler pixel percentage calculation. By computing the ratio of pixels in each divided region to the total pixels, the system achieves accurate reference region identification without requiring complex boundary analysis, thus improving measurement precision while reducing device complexity.
Data Source
AI summary
Disclosed is a region specification method of specifying a subject region including a subject from a subject exiting image in which a background and the subject exist, the region specification method including: calculating an image boundary pixel number of an image boundary of the subject existing image constituting an edge part of each of divided regions into which the subject existing image is divided by a borderline defined on the subject existing image; specifying, from the divided regions, a reference region having a pixel percentage equal to or more than a predetermined percentage, the pixel percentage indicating the calculated image boundary pixel number in a total pixel number of the edge part; and specifying the subject region from the divided regions of the subject existing image by taking the reference region specified in the specifying the reference region as a reference.