Image Processing Device for Yellow Line Detection
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Solution Overview
Problem
Conventional image processing devices face high processing loads when detecting yellow lines on a road surface, as they require synthesizing yellow images, which can lead to incorrect detection due to reduced contrast between line and surface pixels.
Innovation Solution
An image processing device with a calculation unit to determine chroma values and a correction unit that emphasizes luminance values of yellow pixels, allowing for accurate detection of yellow lines without increasing processing load by enhancing contrast between line and surface pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If yellow images are synthesized to detect yellow lines, then detection accuracy is improved, but processing load increases
Solution Approach 1:
The invention extracts only the necessary information (chroma values and luminance values of yellow pixels) from the original image data, rather than synthesizing complete yellow images. This selective extraction maintains detection accuracy while significantly reducing processing load by avoiding unnecessary image synthesis operations.
Solution Approach 2:
The invention transforms the image processing approach by changing from synthesizing full color images to working with extracted parameter values (chroma and luminance). This parameter-based processing maintains the ability to detect yellow lines accurately while reducing computational complexity and processing load.
2Measurement precision
If yellow images are synthesized, then yellow line detection is enhanced, but processing time increases
Solution Approach 1:
The invention performs preliminary extraction of chroma and luminance values for yellow pixels before detection processing. By pre-processing and extracting only the necessary parameters, the system reduces the time required for subsequent detection operations, avoiding the time-consuming synthesis of complete yellow images.
Solution Approach 2:
The invention extracts only the essential parameters (chroma values and luminance values of yellow pixels) needed for detection, eliminating the time-consuming step of synthesizing complete yellow images. This extraction approach maintains detection effectiveness while significantly reducing processing time.
3Measurement precision
If conventional image synthesis is used, then yellow pixel identification is improved, but device complexity increases
Solution Approach 1:
The invention segments the image processing task into distinct, simple operations: calculating chroma values, identifying yellow pixels based on chroma thresholds, and extracting luminance values. This segmentation breaks down the complex synthesis process into manageable steps, reducing overall processing complexity while maintaining identification accuracy.
Solution Approach 2:
The invention simplifies device complexity by changing from complex image synthesis operations to straightforward parameter calculations and comparisons. By working with extracted chroma and luminance values rather than synthesizing images, the processing logic becomes simpler and more efficient.
Data Source
AI summary
An image processing device includes: a calculation unit which calculates chroma values of pixels of image data taken by a shooting device based on differences between R values or G values and B values, respectively; a correction unit which corrects luminance values of pixels that satisfy a prescribed condition for being a yellow pixel using the calculated chroma values as emphasis amounts, respectively; and a detection unit which detects a line drawn on a road surface based on the corrected luminance values.