In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogr...
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
The purpose of image segmentation is to partition the pixel grid of an image into connected components termed segments such that (i) each segment is homogenous and (ii) for any pai...
This paper presents e cient and portable implementations of a useful image enhancement process, the Symmetric Neighborhood Filter SNF, and an image segmentation technique which ma...
: We present a symbol recognition method without segmentation of the document. Our approach uses Zernike moments for the coding and a multilayered Perceptron for the classifier. Re...