Analysing morphological and volumetric properties of dendritic spines from 2-photon microscopy images has been of interest to neuroscientists in recent years. Developing robust and reliable tools for automatic analysis depends on the segmentation quality. In this paper, we propose a new segmentation algorithm for dendritic spine segmentation based on watershed and active contour methods. First,...

A parallel implementation of an image segmentation transform the watershed algorithm-is presented. The algorithm was implemented using the message passing paradigm, both with PVM and MPI and is adapted to a speciic application of determining the volume of liquor from CT-scans. The algorithm is applied on 2D images from cra-nial CT scans to extract the liquor parts from them. The evaluation on a...

The Morro Bay estuary, located on the central Coast of California approximately half way between Los Angeles and San Francisco, is one of the most important wetlands on the west Coast as it supports wide variety of habitats including numerous sensitive and endangered plant and animal species. Various studies have identified accelerated erosion and subsequent sedimentation as a major threat for ...

To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein a combination of pre- and post-improvement procedures. Image contrast enhancement used as the pre-improvement, while color distance Commission Internationale de l´Eclairage (CIE) space, including Lab Luv, regional similarity measure f...

This paper describes a novel method developed for the segmentation of sedimentary grains in electron microscopy images. The algorithm utilizes the approach of region splitting and merging. In the splitting stage, the marker-based watershed segmentation is used. In the merging phase, the typical characteristics of grains in electron microscopy images are exploited for proposing special metrics, ...