A challenge when using current magnetic resonance (MR)-based attenuation correction in positron emission tomography/MR imaging (PET/MRI) is that the MRIs can have a signal void around the dental fillings that is segmented as artificial air-regions in the attenuation map. For artifacts connected to the background, we propose an extension to an existing active contour algorithm to delineate the o...

A novel method is proposed to detect multi-part objects of unknown specific shape and appearance in natural images. It consists in first extracting a strictly oversegmented map of circular arcs and straight-line segments from an edge map. Each obtained constant-curvature contour primitive has an unknown origin which may be the external boundary of an interesting object, the textured or marked r...

A method is proposed to enhance boundary primitives of multi-part objects of unknown specific shape and appearance in natural images. Its input is a strictly over-segmented constant-curvature contour primitive (CCP) map. Each circular arc or straight-line segment primitive from the map has an unknown origin which may be the closed boundary of a multi-part object, the textured or marked region e...

We propose a system to perform disparity estimation for a pair of stereo images using object-based global constraints. EEective global constraints are crucial to accurate disparity estimation under the presence of partially occluded areas, illumination diierences, and object deformation. In our method, object contours are rst extracted and their disparities are estimated using a robust tree mat...

A modified Sammon's algorithm was applied to display a relationship between proteins based on their amino acid composition. In the first stage of the method the 19-dimensional compositional space of representative proteins was mapped into 2-dimensinal space using the original Sammon projection to create a contour map. In the second stage, the contour map was used as a reference for newly projec...

The goal of this paper is to extract automatically the building contours regardless of shape. By extracting these contours, detection results will be more accurate, giving useful information about urban area, which is important for many tasks, like map updating and disaster management. First, we extract local feature points from the image, based on a modification of Harris detector’s saliency f...

In this paper, a robust approach using a shape distribution histogram (SDH) feature and modified sparse representation classification (MSRC) for pedestrian detection in thermal infrared imagery is proposed. In this framework, the candidate regions that are more likely to contain the pedestrians are first detected based on the Contour Saliency Map. Then distances between random points on the thi...

In order to gain a better understanding of visual saliency, we have developed and algorithm which simulates the phenomenon of contour integration for the purpose of visual saliency. The model developed consists of the classical butterfly pattern of connection between orientation selective neurons in the primary visual cortex. In addition, we also add a local group suppression gain control to el...

The encoding of image partitions plays a key role in the overall efficiency of the so-called region-based image coding techniques. Recently, a method based on the novel concept of “transition point” was proposed for the lossless encoding of arbitrary contour maps. This paper addresses the problem of partition simplification in the context of this new encoding method. A new simplification approa...