Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. Recently, full-resolution salient ma...
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds. We employ a Support Vector Machine (SVM) classifier for automatic extrac...
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...