Robust high-breakdown-point location estimators are employed to analyze image stacks under the piecewise constant image structure model. To reduce the effect of bias along the Z-axis, the class parameters are extracted using three consecutive slices, The segmentation algorithm first determines the most reliable seed regions, which are then used in a region-growing procedure supported by local e...

We present an automatic and computationally conservative boundary extraction method using available priori information in a framework consists of change detection mask, region growing, and trajectory motion. Instead of segmenting a entire video frame, only the regions belong to a target object specified by a set of rules are detected. One example of such rules is skin color features of a human ...

This article presents a new framework for the motion segmentation and estimation task on sequences of two gray images without a priori information of the number of moving regions present in the sequence. The proposed algorithm uses temporal information, by using an accurate Generalized Least-Squares motion estimation process, and spatial information, by using an iterative region-growing algorit...

Skull stripping is a major phase in MRI brain imaging applications and it refers to the removal of the brain’s non-cerebral tissues. The main problem in skull-stripping is the segmentation of the non-cerebral and the intracranial tissues due to their homogeneity intensities. Numerous techniques were applied in the studies of skull stripping, most common are region growing and mathematical morph...

Automatic pupil detection is often required as a necessary function in modern Ophthalmology diagnosis. After analyzing the major challenges existing in various diagnosis environments, this paper suggests a stepwise work–flow combining machine vision algorithms including spatial convolution, circular Hough transform and region growing, to provide robust and precision alignment between diagnostic...

In this paper, we propose an automatic unsupervised classification technique. The method works successfully for any kind of feature vectors, therefore we insist on classification step of recognition process only. First we propose an semiautomatic unsupervised classification approach, based on region-growing method. Then, by eliminating the condition of knowing the number of classes, we obtain a...

In this paper, we propose a method for creating a threedimensional polygonal model reflecting precise boundary of physical objects from a point cloud which has strong anisotropic distribution of points obtained by a mobile mapping system. Our method creates boundary information of physical objects based on the planar region segmentation by the line-based region growing approach from a point clo...

In this paper, we consider the problem of reporting the new points incorporated by on-line sequences of nested rectangular range queries where all queries in a sequence have the same orientation, but the orientation of each sequence may differ. Worst case lower bound results show that time and space efficient solutions to this problem are unlikely. Here we present a linear space solution that p...

Salt domes, an important geological structure, are closely related to the formation of petroleum reservoirs. In many cases, no explicit strong reflector exists between a salt dome and neighboring geological structures. Therefore, interpreters commonly delineate the boundaries of salt domes by observing a change in texture content. To stimulate the visual interpretation process, we propose a nov...

We present an approach to automatic image segmentation, in which user selected sets of examples and counter-examples supply information about the speci/c segmentation problem. In our approach, image segmentation is guided by a genetic algorithm which learns the appropriate subset and spatial combination of a collection of discriminating functions, associated with image features. The genetic alg...