We propose an automatic region growing technique for the segmentation of the cerebral cortex and white matter in MRI data. Our method exploits general anatomical knowledge and uses an iterative multi resolution scheme for the estimation of intensity distributions to compensate for artifacts within the data. We present a comparison to segmentation results created by the neuroimaging software Bra...

Breast lesion boundaries have been mostly extracted by using conventional approaches as a previous step in the development of computer-aided diagnosis systems. Among these, region growing is a frequently used segmentation method. To make the segmentation completely automatic, most of the region growing methods incorporate automatic selection of the seed points. This paper proposes a new automat...

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...

Vessels in retinal fundus images are useful in revealing the severity of eye-related diseases. In addition, they can act as landmarks for localizing lesions and the central vision area, and guiding laser treatment of neovascularization. In this paper, we propose a two-stage method to identify and extract vascular structure. First, vessels are enhanced by mathematical morphology with respect to ...

A novel two-stage framework for motion segmentation under stationary background conditions is proposed in this paper. The first stage uses an attention based method to extract motion information. The second stage then applies a region growing technique to motion vectors to obtain motion segmentation and completes motion segmentation with region matching. The algorithm is tested on various video...

This paper proposes a novel two-stage method for motion segmentation under stationary background conditions. First motion vectors are extracted using an attention based method. Then a region growing technique is applied to these vectors to obtain motion segmentation and completes motion segmentation with region matching. The algorithm is tested on various video data and experimental results sho...

A novel segmentation algorithm based on the region growing paradigm is presented. Unlike previous segmentation methods, this novel scheme requires neither hand-tuning of parameters nor knowledge about the scene. Instead, the parameter which controls the segmentation is dynamically derived from the data for each region, based on a local quality measure of the region's contour. The algorithm assi...

AbstractIn spite of their non-isotropic nature, local growths based on 4-connected or 8-connected neighborhoods are frequently used for binary image dilation, mostly because they are very easy to implement. Altough better dilation techniques exist, they usually require bigger masks, more complex routines, exotical grid definitions or globally processing the image. In this article we propose a n...