Active Contours and Image Segmentation: The Current State Of the Art

Image segmentation is a fundamental task in image analysis responsible for partitioning an image into multiple sub-regions based on a desired feature. Active contours have been widely used as attractive image segmentation methods because they always produce sub-regions with continuous boundaries, while the kernel-based edge detection methods, e.g. Sobel edge detectors, often produce discontinuous boundaries. The use of level set theory has provided more flexibility and convenience in the implementation of active contours. However, traditional edge-based active contour models have been applicable to only relatively simple images whose sub-regions are uniform without internal edges. Here in this paper we attempt to brief the taxonomy and current state of the art in Image segmentation and usage of Active Contours

A Case for using Grid Framework for Indian Rural Healthcare to Meet the Millennium Development Goals (MDGs)

As per the September 2010, Annual Report of Department of Health and Family Welfare, Ministry of Health and Family Welfare, GOI, 75% of human resources and advanced medical technology,70% of hospitals and 40% of beds are in the private sector and mostly in the urban areas. Due to poor Infrastructure, insufficient supply of skilled doctors and dispersed populations the people living in the rural areas do not get any specialist care ,advice and treatment plan resulting in high MMR (Maternal Mortality Rate per 100,000 live births) and IMR(Infant Mortality Rate).We have proposed a HealthGrid Framework using the SWAN as an IT backbone and also formation of a Data Grid EHR to be shared by specialist doctors to provide better medical services to the rural poor which in turn helps us to meet the MDGs by 2015