Obstacle-Free Pathway Detection by Means of Depth Maps
Journal of Intelligent and Robotic Systems
International Journal of Computer Applications in Technology
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends
Machine Graphics & Vision International Journal
Fuzzy incremental control algorithm of loop heat pipe cooling system for spacecraft applications
Computers & Mathematics with Applications
Genetic programming based blind image deconvolution for surveillancesystems
Engineering Applications of Artificial Intelligence
Efficient algorithm for automatic road sign recognition and its hardware implementation
Journal of Real-Time Image Processing
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In this paper a new color space, called the RGB color ratio space, is proposed and defined according to a reference color such that an image can be transformed from a conventional color space to the RGB color ratio space. Because a color in the RGB color ratio space is represented as three color ratios and intensity, the chrominance can be completely reserved (three color ratios) and the luminance can be de-correlated with the chrominance. Different from traditional distance measurement, a road color model is determined by an ellipse area in the RGB ratio space enclosed by the estimated boundaries. A proposed adaptive fuzzy logic in which fuzzy membership functions are defined according to estimated boundaries is introduced to implement clustering rules. Therefore, each pixel will have its own fuzzy membership function corresponding to its intensity. A basic neural network is trained and used to achieve parameters optimization. The low computation cost of the proposed segmentation method shows the feasibility for real time application. Experimental results for road detection demonstrate the robustness to intensity variation of the proposed approach.