Scale-Spaced Pyramid for Image Segregation
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Solution Overview
Problem
Current computer vision applications face challenges in accurately separating illumination and material aspects of images, which affects the accuracy and effectiveness of image processing and analysis.
Innovation Solution
A method and system utilizing spatio-spectral information and a scale-spaced pyramid arrangement to accurately identify illumination and material aspects of images by processing an image file, forming a scale-spaced pyramid, and calculating mean color values to assign colors to pixels, ensuring color purity across scales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a scale-spaced pyramid arrangement is used to process images at multiple resolutions, then the accuracy of illumination and material separation is improved, but the computational complexity and processing time increase
Solution Approach 1:
The image processing is segmented into multiple resolution levels organized as a pyramid structure. Each level processes a downsampled version of the image, dividing the computational task into manageable segments that can be processed independently and then combined to achieve accurate illumination and material separation.
Solution Approach 2:
The problem is solved by adding a resolution dimension to the processing approach. Instead of processing a single high-resolution image directly, the method processes images at multiple resolution scales (another dimension), allowing computational complexity to be distributed across different scales while maintaining accuracy.
2Manufacturing precision
If color values are averaged across a D×D neighborhood to determine pixel color at lower resolution, then color purity is preserved across scales, but the processing time increases
Solution Approach 1:
Color values are pre-calculated for D×D neighborhoods at each resolution level before the actual image segregation processing. This preliminary computation of mean colors and selection of representative pixels reduces the computational burden during the main processing stage while ensuring color purity is maintained across scales.
Data Source
AI summary
A method and system comprising image processing techniques is provided that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image. In an exemplary embodiment of the present invention, a scale-spaced pyramid arrangement is provided to preserve the purity of color from scale to scale, to insure accuracy in the identification of illumination and material aspects of the image.