Deterministic annealing EM algorithm
Neural Networks
Grouping ., -, →, 0 - , into regions, curves, and junctions
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Unsupervised Segmentation of Color Images Based on k -means Clustering in the Chromaticity Plane
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
A New Method of Color Image Segmentation Based on Intensity and Hue Clustering
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Automatic Text Location in Natural Scene Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
ICDAR 2003 Robust Reading Competitions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
First Order Augmentation to Tensor Voting for Boundary Inference and Multiscale Analysis in 3D
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference of Segmented Color and Texture Description by Tensor Voting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color segmentation for text extraction
International Journal on Document Analysis and Recognition
Fast and robust text detection in images and video frames
Image and Vision Computing
Image Repairing: robust image synthesis by adaptive ND tensor voting
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Automatic detection and recognition of signs from natural scenes
IEEE Transactions on Image Processing
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Automatic detection and recognition of Korean text in outdoor signboard images
Pattern Recognition Letters
Text detection in images using sparse representation with discriminative dictionaries
Image and Vision Computing
CCIW'11 Proceedings of the Third international conference on Computational color imaging
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Edge-preserving color image denoising through tensor voting
Computer Vision and Image Understanding
An approach for Bangla and Devanagari video text recognition
Proceedings of the 4th International Workshop on Multilingual OCR
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In natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficult and can reduce the accuracy of further analysis such as optical character recognition. We propose a method to drastically improve segmentation using tensor voting as the main filtering step. We first decompose an image into chromatic and achromatic regions. We then identify text layers using tensor voting, and remove noise using adaptive median filter iteratively. Finally, density estimation for center modes detection and K-means clustering algorithm is performed later for segmentation of values according to hue or intensity component in the improved image. Excellent results are achieved in experiments on real images.