Image Processing Device Identifying Encircling Lines
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Solution Overview
Problem
Existing image processing techniques face challenges in accurately identifying encircling lines in images, which are crucial for specifying partial regions and removing objects from images.
Innovation Solution
An image-processing device and computer program that execute steps to identify target pixels, set frame regions, and calculate ratios of object pixels to determine if an encircling line surrounds a target image by analyzing the number of partial object regions within the frame region, using specific reference values to determine if the encircling line encloses a part of the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image processing techniques are used to identify encircling lines, then general object identification can be performed, but accurate identification of encircling lines surrounding partial regions cannot be achieved
Solution Approach 1:
The patent applies local quality by analyzing the local characteristics of object pixels within frame regions. Instead of treating the entire image uniformly, it examines each target pixel's surrounding frame region to count partial object regions, thereby identifying encircling lines based on local spatial patterns rather than global image properties.
Solution Approach 2:
The patent segments the image processing task by dividing it into discrete steps: identifying target pixels, setting frame regions around each target pixel, counting partial object regions within each frame, and calculating ratios. This segmentation allows the system to systematically analyze encircling line patterns through multiple localized measurements.
2Measurement precision
If frame regions are set for each target pixel to analyze partial object regions, then encircling line identification accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent applies partial action by setting frame regions only for identified target pixels rather than processing every pixel in the image. This selective approach focuses computational resources on pixels that are likely to be part of encircling lines, reducing overall processing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent performs preliminary action by first identifying target pixels before setting frame regions and conducting detailed analysis. This preliminary identification step filters out non-relevant pixels, thereby simplifying subsequent processing steps and reducing the computational burden of frame region analysis.
3Measurement precision
If the ratio of first object pixels is calculated and compared to reference values, then encircling line determination becomes more accurate, but processing time increases
Solution Approach 1:
The patent applies self-service by using the image data itself to provide the reference values needed for comparison. The first reference value is derived from the ratio of first object pixels to total object pixels, allowing the system to automatically determine its own thresholds based on the actual image content rather than requiring external calibration or fixed predetermined values.
Solution Approach 2:
The patent changes parameters dynamically by calculating the ratio of first object pixels and comparing it to reference values. This parameter-based approach allows the system to adapt its determination criteria based on the specific characteristics of each image, improving accuracy while maintaining efficient processing through mathematical comparisons rather than complex pattern matching.
Data Source
AI summary
An image-processing device stores computer-readable instructions therein. The computer-readable instructions, when executed by a processor, cause the image-processing device to perform identifying an object in a target image represented by target image data. The object includes object pixels. The processor further performs setting frame regions for the object pixels and counting an intersection number. The partial object region is positioned within frame regions and has object pixels consecutively arranged. The processor performs calculating a ratio of first object pixels to the object pixels as a first ratio. Each first object pixel is an object pixel whose intersection number is 2. The processor performs judging whether the first ratio is greater than or equal to a first reference value and determining that the object is an encircling line that encloses a part of the target image if the first ratio is greater than or equal to the first reference value.