نتایج جستجو برای: watershed algorithm
تعداد نتایج: 769029 فیلتر نتایج به سال:
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice, whose cell dimension is carefully estimated from the data. The clustering is then performed using the well-known watershed algorithm, paying particular attention to the boundary situations. The main characteristic of ...
This paper addresses the problem of motion segmentation using a multilayer representation. At first, the coarse optic flow is estimated using the robust Simultaneous-Over-Relaxation (SOR) algorithm, meanwhile the intensity segmentation is performed by a watershed algorithm. The image is divided into nonoverlapping rectangular tiled regions, within those subregions affine motion models are fitte...
Microarrays are novel and dominant techniques that are being made use in the analysis of the expression level of DNA, with pharmacology, medical diagnosis, environmental engineering, and biological sciences being its current applications. Studies on microarray have shown that image processing techniques can considerably influence the precision of microarray data. A crucial issue identified in g...
The watershed algorithm from mathematical morphology is powerful for segmentation. However, it does not allow incorporation of a priori information as segmentation methods that are based on energy minimization. In particular, there is no control of the smoothness of the segmentation result. In this paper we show how to represent watershed segmentation as an energy minimization problem, using th...
Segmentation of multiple objects with irregular contours and surrounding sporadic spots is a common practice in ultrasound image analysis. A new region-based approach, called cell-competition algorithm, is proposed for simultaneous segmentation of multiple objects in a sonogram. The algorithm is composed of two essential ideas. One is simultaneous cell-based deformation of regions and the other...
Precise liver segmentation in abdominal MRI images is one of the most important steps for the computer-aided diagnosis of liver pathology. The first and essential step for diagnosis is automatic liver segmentation, and this process remains challenging. Extensive research has examined liver segmentation; however, it is challenging to distinguish which algorithm produces more precise segmentation...
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