MATLAB Simulation for Road Recognition Using Color-Based Image Processing
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Resource Overview
A MATLAB simulation program for road recognition primarily based on road color image processing, incorporating multiple computer vision algorithms for enhanced detection accuracy.
Detailed Documentation
This paper presents a MATLAB simulation program for road recognition utilizing color-based image processing techniques. The implementation involves more than just color processing and integrates several key image processing steps. For instance, the program employs edge detection algorithms (such as Canny or Sobel operators) to identify road boundaries, followed by morphological operations (like dilation and erosion) to fill gaps within the road regions. To improve robustness, the simulation accounts for environmental factors like varying lighting conditions and weather effects that may alter road color appearance. Future enhancements could involve implementing advanced algorithms (e.g., machine learning-based segmentation) or integrating multi-sensor data fusion to incorporate additional parameters for more comprehensive road recognition.
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