This paper reviews ultrasound segmentation methods, in a broad sense, focusing on techniques developed for medical ultrasound images. Segmenting abnormal from normal myocardium using highfrequency intracardiac echocardiography (ICE) the 3D real-time images present new challenges for image processing in LabVIEW. Gray-level intensity and texture features of ICE images of myocardium with the same ...

In this paper, a watershed-based method with support from external data sources is proposed to detect Social Events defined by MediaEval 2012. This method is based on two main observations: (1) people cannot be involved in more than one event at the same time, and (2) people tend to introduce similar annotations for all images associated to the same event. Based on these observations, the whole...

A general framework of spatio-spectral segmentation for multispectral images is introduced in this paper. The method is based on classification-driven stochastic watershed by Monte Carlo simulations, and it gives more regular and reliable contours than standard watershed. The present approach is decomposed into several sequential steps. First, a dimensionality reduction stage is performed using...

The collapsed buildings due to earthquake were detected from post-event aerial images using watershed segmentation algorithm. The objective was to detect the collapsed buildings based on the analysis of the cast shadows. The building boundaries were available and stored in a GIS as vector polygons. The building polygons were utilized to perform assessments in a building specific manner. The app...

Light Detection and Ranging (LiDAR) remote sensing has demonstrated potential in measuring forest biomass. We assessed the ability of LiDAR to accurately estimate forest total above ground biomass (TAGB) on an individual stem basis in a conifer forest in the US Pacific Northwest region using three different computer software programs and compared results to field measurements. Software programs...

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,...

Image segmentation and evaluation are awfully not easy but significant tribulations in computer vision. In this article we have presented an improved FCM Watershed Algorithm for image segmentation. In this techniques, Decision based median filter used for noise removal, is best for salt and pepper noise reduction. Secondly, Fuzzy CMeans used for cluster selection and for final segmentation modi...

In this paper, a new method for individual tooth segmentation was proposed. The proposed method is composed of enhancement and extraction of boundary and seed of watershed algorithm using trisection areas by morphological characteristic of teeth. The watershed algorithm is one of the conventional methods for tooth segmentation; however, the method has some problems. First, molar region detectio...

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...

In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the appl...