Image Processing Device Chromatic Achromatic Determination
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Solution Overview
Problem
Conventional image processing devices inaccurately determine whether an image is chromatic or achromatic due to misclassification of background and non-background pixels, leading to erroneous identification of image types.
Innovation Solution
An image processing device that identifies background color, classifies pixels into background and non-background groups, and determines the chromatic or achromatic nature of image regions without using background pixel values, thereby accurately distinguishing between chromatic and achromatic images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image processing device executes block determining process on all pixels in each block, then the determination is made for every block, but background color pixels cause erroneous determination of chromatic/achromatic blocks
Solution Approach 1:
The patent segments the image processing into distinct phases: background color identification phase and block determining phase. The background color is identified first, then blocks are determined based on comparison with this background color. This segmentation allows the system to exclude background pixels from chromatic/achromatic determination, preventing erroneous classifications while maintaining comprehensive block analysis.
Solution Approach 2:
The patent performs preliminary background color identification before executing the block determining process. By establishing the background color in advance, the system can subsequently compare each block's pixels against this predetermined background color, ensuring that background pixels do not interfere with the chromatic/achromatic determination of non-background regions.
2Area of stationary object
If all pixels including background pixels are used for determination, then complete image coverage is achieved, but background pixels reduce measurement precision of actual image content
Solution Approach 1:
The patent applies different quality criteria to different regions of the image. Background regions are identified and treated differently from non-background regions. Specifically, background pixels are excluded from the chromatic/achromatic determination process, while non-background pixels are analyzed with full attention. This local quality approach ensures that the determination precision is optimized for the actual image content rather than being diluted by uniform background areas.
Data Source
AI summary
In an image processing device, the control device identifies a background color of the image. The control device classifies each of the pixels into either one of a background color pixel group or a non-background color pixel group. The control device determines whether a partial region of the image having the non-background pixel is a chromatic color region or an achromatic color region, without using pixel values corresponding to pixels classified into the background color pixel group. The control device determines that the image is chromatic color image when it is determined that the partial region is the chromatic color region. The control device determines that the image is achromatic color image when it is determined that the partial region is the achromatic color region.