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VLSISP
2002
114views more  VLSISP 2002»
13 years 7 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
ICPR
2006
IEEE
14 years 8 months ago
Extracting Lines in Noisy Image Using Directional Information
Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false l...
Arturo Sanchez-Azofeifa, Jun Zhou, Walter F. Bisch...
IBPRIA
2007
Springer
14 years 1 months ago
Breast Skin-Line Segmentation Using Contour Growing
This paper presents a novel methodology to obtain the breast skin line in mammographic images. The breast edge provides important information of the breast shape and deformation wh...
Robert Marti, Arnau Oliver, David Raba, Jordi Frei...
MM
1995
ACM
139views Multimedia» more  MM 1995»
13 years 11 months ago
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Ramin Zabih, Justin Miller, Kevin Mai
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
14 years 1 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak