introduction the morphologic features of human sperms are key indicators for monitoring fertility problems in men. therefore, automated analyzing methods via microscopic videos have become the most favorite policy in infertility treatment during the last decades. materials and methods in the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from backgroun...

This paper presents a solution to a major drawback of watershed transformation: over segmentation. The solution utilizes one of its main advantages – very good edge extraction. It is a method that simulates pouring water onto a landscape created on a basis of a digital image. Unfortunately transformation produces a region for each local minimum so, usually, the number of watersheds (catchment b...

Introduction Two-dimensional gel electrophoresis (2DGE) is a powerful technique in proteomics for protein separation. In this technique, spot segmentation is an essential stage, which can be challenging due to problems such as overlapping spots, streaks, artifacts and noise. Watershed transform is one of the common methods for image segmentation. Nevertheless, in 2DGE image segmentation, the no...

We present a new algorithm to compute the watershed transform on a massively parallel machine. Logic minimization, together with a novel approach to the notion of dynamics, allow the implementation of the watershed algorithm on a cellular automata grid, such as the programmable retina. We then investigate the profit acquired from computing some parts of the algorithm in an asynchronous way, in ...

Title of Thesis: CALIBRATING SHENANDOAH WATERSHED SWAT MODEL USING A NONLINEAR GROUNDWATER ALGORITHM Yan Wang, Master of Science, 2011 Directed By: Dr. Kaye Brubaker Water Resources Engineering Department of Civil and Environmental Engineering This study contributes to a project with the Interstate Commission on the Potomac River Basin to build a model of the Potomac watershed using the Soil Wa...

In 1991 I described a particularly simple and elegant watershed algorithm, where the ooding a topographic surface was scheduled by a hierarchical queue. In 2004 the watershed line has been described as the skeleton by zone of in uence for the topographic distance. The same algorithm still applies. In 2012 I de ned a new distance based on a lexicographic ordering of the downstream paths leading ...

In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the two-dimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space. To avoid oversegmentation, the watershed algori...

The exact, subpixel watershed algorithm delivers very accurate watershed boundaries based on a spline interpolation, but is slow and only works in 2D. On the other hand, there are very fast pixel watershed algorithms, but they produce errors not only in certain exotic cases, but also in real-world images and even in the most simple scenarios. In this work, we examine closely the source of these...

Finding of semantic regions is the main objective of segmentation for image understanding. Automatic image segmentation is one of the major difficulties in the field of image processing. The watershed algorithm has some problems, like over segmentation, sensitive to noise, and high computational complexity. To overcome these problems, we have proposed a Modified Watershed (MWS) algorithm for co...