The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a topographic surface, a topographic distance is defined from which a minimum distance algorithm is derived for the watershed. In a continuous formulation, this is modeled via the eikonal PDE, which can be solved using curv...

This paper focuses on marker based watershed segmentation algorithms. As marker based watershed segmentation algorithm causes over segmentation and cause noise in the image produced. So to reduce these problem different researchers has proposed different solutions, but the best solution is to use bilateral filter. The main objective of this paper is to find the gaps in existing literature. The ...

A new method based on directional wavelet transform and the watershed method is proposed for the segmentation of image. In this paper, more attention is paid for the efficient extraction and representation of feature associated with pixel and their classification. In order to achieve the better representation of image contents anisotropic wavelet transform is utilized. Segmented image is obtain...

We present a robust region segmentation method based on a pseudo-distance map (PDM) that uses a watershed algorithm as a segmentation tool. The PDM is a regularized version of a Euclidean distance map (EDM) directly computed from the edgestrength function (ESF) of an input image without edge detection, which involves a thresholding operation. This unavoidably causes useful region boundary infor...

Stroke is a cerebro-vascular accident that alters the supply of blood to the brain cells. Stroke is second highest cause for morbidity rate among humans after cardiovascular arrest. Stroke can hardly be observed in T1 and T2 sequences of MRI on the onset. The doctors usually prefer diffusion weighted imaging sequence and apparent diffusion coefficient mapping to diagnose strokes. Segmentation i...

This paper presents a method for the segmentation of membrane images acquired with transmission electron microscopes (TEM) for classification purposes. It relies on a multiresolution representation of the image to detect the edges at appropriate scales by an adaptive thresholding of the gradient images. The edges found at the different scales are combined and homogeneous regions are extracted w...

A novel method of the multiprimitive texture analysis is proposed. This method segments a texture using the watershed algorithm into fragments each of which contains one grain. The size density function of each fragment is calculated, and the fragments are located in the feature space each of whose basis is the size density of a size. The shape of each grain is distorted by the segmentation if ...

This paper presents an efficient method for image segmentation based on a multiresolution application of a wavelet transform and watershed segmentation algorithm. The procedure toward complete segmentation consists of four steps: pyramid representation, image segmentation, region merging and region projection. First, pyramid representation creates multiresolution images using a wavelet transfor...

We present an advanced algorithm for the determination of watershed lines on Digital Elevation Models (DEMs), which is based on the iterative application of Invasion Percolation (IIP) . The main advantage of our method over previosly proposed ones is that it has a sub-linear time-complexity. This enables us to process systems comprised of up to 10 sites in a few cpu seconds. Using our algorithm...

We propose a new method for contour tracking in video. The inverted distance transform of the edge map is used as an edge indicator function for contour detection. Using the concept of topographical distance, the watershed segmentation can be formulated as a minimization. This new viewpoint gives a way to combine the results of the watershed algorithm on different surfaces. In particular, our a...