one of the most important problems in schematization and watershed management is determining the watershed measures impacts on flow distribution. flow distribution algorithms grouped into two main types include single flow direction (sfd) algorithm and multiple flow direction (mfd) algorithms. in many package of gis use the single flow direction to runoff routing. in this research studied water...

most of the erythrocyte related diseases are detectable by hematology images analysis. at the first step of this analysis, segmentation and detection of blood cells are inevitable. in this study, a novel method using a line operator and watershed algorithm is rendered for erythrocyte detection and segmentation in blood smear images, as well as reducing over-segmentation in watershed algorithm t...

Problem statement: Segmentation plays an important role in medical imaging. Segmentation of an image is the division or separation of the image into dissimilar regions of similar attribute. In this study we proposed a methodology that integrates clustering algorithm and marker controlled watershed segmentation algorithm for medical image segmentation. The use of the conservative watershed algor...

Image segmentation is the process of partitioning a digital image into multiple segments. Segmentation is fundamental step in analyzing and understanding an image. In this paper, different segmentation algorithms are implemented. Watershed transform is region based segmentation technique. It changes your image into another image whose catchment basins are the objects you want to identify. Where...

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 study the problem of automatically identifying watershed boundaries from digital elevation data. Nelson et al. have a vector-based algorithm to solve this problem, but their approach cannot guarantee that each watershed is a single polygon because of the modeling assumptions. We propose a vector-based algorithm that is provably consistent with its modeling assumptions and that guarantees one...

Watershed transform is a key operator in video segmentation algorithms. However, the computation load of watershed transform is too large for real-time applications. In this paper, a new fast watershed algorithm, named P-Watershed, for image sequence segmentation is proposed. By utilizing the temporal coherence property of the video signal, this algorithm updates watersheds instead of searching...

The watershed transformation is a popular image segmentation algorithm for grey scale images. Sequential watershed algorithms perform a highly data dependent ooding process over the global image. Parallel algorithms which distribute the image over the available processors and simulate the ooding process have a limited, data dependent speedup. This is due to global data dependencies over the sub...

Based on analyzing the drawbacks existing in traditional watershed algorithms for bone removal from CTA (Computed Tomography Angiography, CTA), this paper presents an improved interactive watershed algorithm. The improved watershed algorithm is based on sorting and graded overflow of fast watershed algorithms, and the merging process of catchment basins is intervened by a merging threshold whic...

runoff and sediment measurement is difficult in mountain watershed because of many different problems such as time and financial limitations. so using simulation model is necessary in this regard. accuracy and precision evaluation of models for different watershed of iran is necessary. the aim of this study was the evaluation of swat model efficiency in simulation of runoff and sediment yield i...