Advances in Optical Image Analysis Textural Segmentation in Ironmaking

A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step to discriminate different regions. Then with the aim of eliminating unnecessary details and achi...

Fingerprint Image Segmentation Using Textural Features

Co-Sparse Textural Similarity for Image Segmentation

We propose an algorithm for segmenting natural images based on texture and color information, which leverages the co-sparse analysis model for image segmentation within a convex multilabel optimization framework. As a key ingredient of this method, we introduce a novel textural similarity measure, which builds upon the co-sparse representation of image patches. We propose a Bayesian approach to...

Color Image Segmentation : Advances

Color Image Segmentation: Advances & Prospects

Image segmentation is very essential and critical to image processing and pattern recognition This survey provides a summary of color image segmentation techniques available now Basically color segmentation ap proaches are based on monochrome segmentation approaches operating in di erent color spaces Therefore we rst discuss the major segmentation approaches for segmenting monochrome images his...