Watershed transform has interesting properties that make it useful for much different image segmentation analysis, it has important drawbacks (Over segmentation, sensitivity to noise, poor detection of thin or low signal to noise ratio structures). Recent advances in medical imaging technology using multiple Computed tomographies (CT) provide volumetric datasets with spatial resolution segmenta...

In this paper we present a new implementation of a rainfalling watershed segmentation algorithm. Our previous algorithm was a one-run algorithm. All the steps needed to compute a complete watershed segmentation were done in one run over the input data. In our new algorithm we tried another approach. We separated the watershed algorithm in several low-complexity relabeling steps that can be perf...

Medical Image segmentation deals with segmentation of tumor in CT and MR images for improved quality in medical diagnosis. Geometric Vector Flow (GVF) enhances the concave object extraction capability. However, it suffers from high computational requirement and sensitiveness to noise. This paper intends to combine watershed algorithm with GVF snake model to reduce the computational complexity, ...

A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an initial segmentation based on K-means clustering technique. Starting from this, we used two techniques; the first is watershed technique with new merging procedures based on mean intensity value to segment the image regions...

The watershed transform is a well-known approach for image segmentation. Watershed from markers and hierarchical watershed are derived from the watershed transform and are suitable for interactive image segmentation: in the former, the user can edit markers and control the segmentation result; in the latter, the user can select an image partition from a nested set of partitions. We investigate ...

White Creek, Cripple Creek, Hayden Creek, Shadow Brook, and Mount Wellington watercourses constitute the northern watershed of Otsego Lake (Figure 1). Approximately 44% of the northern watershed is devoted to agricultural utilization (Harman et. al. 1997) and the potential for anthropogenically derived additions of total carbon (TC), total inorganic carbon (TIC/IC), and nitrogen affecting the l...

This paper describes a new computing paradigm known as a problem solving environment ~PSE!, explores the role this new paradigm might play in watershed management and land use change analysis, and compares PSEs to similar technologies such as decision support systems and geographic information systems. A prototypical watershed management PSE organizes and unifies the diverse collection of softw...

A road segmentation technique is proposed based on a mathematical morphology tool called watershed transform. Starting from a coarse marker of the road to be segmented, we modify the gradient image of the scene and compute the watershed transform of this image. The result provides a fair segmentation of the road. The marker itself is produced by using the watershed transform, and a simplified r...

DWSM, the dynamic watershed simulation model, was expanded with a subsurface and a reservoir flow routing schemes. The hydrology and sediment components of the model were applied to three agricultural watersheds in Illinois, Big Ditch (100 km2), Court Creek (250 km2), and Upper Sangamon River (2,400 km2), to simulate spatially and temporally varying surface and subsurface storm water runoff, pr...

In the recent past, the Sepetiba Bay watershed, located in the Rio de Janeiro State, Brazil has experienced rapid industrial development and population growth, as well as an increase in water pollution and environmental degradation. To analyze the complex interrelationships among the agents affecting the Sepetibza Bay environment, a system dynamics model was developed. The model builds on exten...