We describe a combination of a region growing and a watershed algorithm optimized for the detection of homogeneous structures in magnetic resonance (MR) volume datasets. No prior knowledge is used except a segment model. The adaptation to different data sets is controlled by parameters which can be determined interactively due to the high speed of the algorithm. Results are shown for the segmen...

Human ngerprints comprise a series of whorls or ridges In some special cases these whorls are broken by so called secondary creases co linear breaks across a sequence of adjacent ridges A technique to au tomatically detect such creases in ngerprints is described This technique utilizes a combination of spatial ltering and region growing to identify the morphology of the locally fragmented ngerp...

Point-like targets are useful in providing surface deformation with the time series of synthetic aperture radar (SAR) images using the multi-temporal interferometric synthetic aperture radar (MTInSAR) methodology. However, the spatial density of point-like targets is low, especially in non-urban areas. In this paper, a hierarchical MTInSAR method is proposed to increase the spatial density of d...

The human tongue is an important organ for speech production. Its deformation and motion control the shape of the vocal tract significantly and thereby the acoustic properties of the speech signal produced. Thus, much effort in the speech research community has been directed towards its biomechanical modeling. A common assumption incorporated into many models of the human tongue is the tissue i...

The two main schemes for coding triangle mesh connectivity traverse a mesh with similar region-growing operations. Rossignac’s Edgebreaker uses triangle labels to encode the traversal whereas the coder of Touma and Gotsman uses vertex degrees. Although both schemes are guided by the same spiraling spanning tree, they process triangles in a different order, making it difficult to understand thei...

This paper presents a method for segmentation of medical images and the application of the so called geometric or Clifford algebras for volume representation, non-rigid registration of volumes and object tracking. Segmentation is done combining texture and boundary information in a region growing strategy obtaining good results. To model2D surfaces and 3D volumetric data we present a new approa...

Thls paper proposes a new perceptual approach to noisy X-ray image segmentation. It consists of the five major s t e p : (1) Pre-segmentation, (2) Improved region growing, (3) Object detection. The heuristic knowledge about the biological struction of the human organs and simulation of human expert diagnosis is arranged by knowledge mechanism. And the knowledge driven interpretation is consiste...

This paper presents an efficient graph-based algorithm for the segmentation of planar regions out of 3D range maps of urban areas. Segmentation of planar surfaces in urban scenarios is challenging because the data acquired is typically sparsely sampled, incomplete, and noisy. The algorithm is motivated by Felzenszwalb’s algorithm to 2D image segmentation [8], and is extended to deal with non-un...

Conventional manual surveys of rock mass fractures usually require large amounts of time and labor; yet, they provide a relatively small set of data that cannot be considered representative of the study region. Terrestrial laser scanners are increasingly used for fracture surveys because they can efficiently acquire large area, high-resolution, three-dimensional (3D) point clouds from outcrops....

High-resolution remote sensing images offer great possibilities for urban mapping. Unfortunately, shadows cast by buildings during this some problems occurred .This paper mainly focus to get the high resolution colour remote sensing image, and also undertaken to remove the shaded region in the both urban and rural areas. The region growing thresholding algorithm is used to detect the shadow and...