Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved seeded region growing algorithm
Pattern Recognition Letters
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Based Watershed Segmentation of Low-Altitude Aerial Images
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Application of Kekre's fast code book generation algorithm for face recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Iris recognition using discrete cosine transform and Kekre's fast codebook generation algorithm
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A comparative study of DCT and Kekre's median code book generation algorithm for face recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Coloring gray scale digital images using Kekre's fast code book generation algorithm
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Kekre's Fast Codebook Generation algorithm for tumor detection in mammography images
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Vector quantization using global codebook technique
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
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In this paper we introduce segmentation approach which uses fast codebook generation algorithm based on energy ordering concept. It is specifically designed to segment low-altitude aerial images which can be used as a preprocessing step to 3D reconstruction. This approach uses color similarity and volume difference criteria to merge adjacent regions. Experiments performed with real aerial images of varied nature demonstrate that this approach does not result in over segmentation or under segmentation allowing large-scale urban scenes to be segmented in an accurate, reliable and fully automatic way. The vector quantization seems to give far better results as compared to conventional on-the-fly watershed algorithm.