SEARCHING THE ROAD NETWORK IN RURAL INDIA: A PROSPECTIVE OF RURAL DEVELOPMENT

Connectivity in rural areas is a critical factor for social and economic development of rural population as it provides access to the amenities e.g. health, education, marketing etc. Investment in road network development in rural areas is responsible for lifting the life of rural people beyond poverty. There are evidences which provide the indication that poverty levels in rural community reduces due to proper connectivity in these areas. Roads edges are boundaries which contains the texture of different types. Edges are the discontinuities in the intensity of the image from a pixel to other. In an image, edges are very important phenomena which indicate the presence of higher frequency. The application of edge detection in an image may be used in data compression, image segmentation, and matching like image reconstruction etc. Several methods may be used for detection of edge. Differentiation calculation of an image is the method commonly used for detection of edge. Gradient is used to compute derivative of the first order and Laplacian is used to compute the derivative of the second order. We have used the derivative of first order method for detection of roads and perform an analysis of problem domain in search of the possibility of growing further network of new roads.