Image Segmentation and Recognition

Image segmentation refers to segmenting or dividing an image which corresponds to objects or different parts of an object. The segmentation is carried out using K-means clustering algorithm, which is a fast and efficient way to segment an image. K-means is one of the most widely used algorithm. We have implemented a color based image segmentation using Kmeans clustering technique. The K-means algorithm is an iterative technique used to partition image into K clusters. It improves the process of segmentation with respect to both time and quality. After segmentation of the image, Edge Reocgnition in an image is done,which refers to the recognition of the edges separately of the image. Edge recognition is carried out using Sobel Filter, which is used to detect edges based on applying a horizontal and vertical filter in sequence. In this project, Both filters are applied to the image and summed to form the final result.