This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simpler partition models in order to finally get a more reliable and accurate segmentation result. The different label fields to be fused in our application are given by the same and simple (K-means based) clustering technique on an ...

A new multisensory image segmentation algorithm is presented. In this algorithm, the images from different sensors are segmented in a sequential manner using curve evolution methods. There are no fusion rules involved and no controlling weights to adjust. It is effective in eliminating errors in single modality segmentation, and is fast enough for segmentation in real-time applications. The alg...

Treatment planning for high precision radiotherapy of head and neck (H&N) cancer patients requires accurate delineation of many critical structures. Manual contouring is tedious and often suffers from large interand intra-rater variability. To reduce manual labor, we have previously developed a fully automated, atlas-based method for H&N CT image segmentation [1, 2]. In this work, we adapt the ...

For accurate image segmentation, edge detection and stereo matching, it is significant that all the objects in the image under processing must be in focus. However, due to limited depth of field of optical lenses particularly which have greater focal length, it is not always possible. In such cases, image fusion is performed to obtain an everywherein focus image. In this paper, we have proposed...

The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associat...

Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analy...

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

This works deals with hybrid method for color image segmentation. The role of introducing the statistical features in clustering technique and that of data level and feature level fusion applied to color image segmentation are studied in this paper to obtain an optimal segmented image and to detect the fire in Forest images. The proposed segmentation approach is conceptually different and based...