Introduction to artificial intelligence
Introduction to artificial intelligence
Describing and segmenting scenes from imperfect and incomplete data
CVGIP: Image Understanding
Edge and Line Feature Extraction Based on Covariance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Filtering, Edge Detection, and Edge Tracing Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fast and Accurate Face Detector Based on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithm Wavelet Design for Signal Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Face detection by fuzzy pattern matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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Extraction of edge, shade and mixed ranges are the first stage in the process of image understanding. This paper highlights the difficulties for a mobile robot to find out these features from a video stream of images transmitted from the robot. As the robot moves through the uneven lighting condition in its surrounding, the image quality differs from point to point. The paper proposes a recursive formulation of fuzzy Gaussian filter, by varying its parameters, i.e., window size and σ value to get the dominant features of the online video images. The method has been implemented on a client machine for the video images transmitted by the mobile robot Pioneer DX-2. The result shows that the method is suitable for the online images taken in varying lighting conditions.