Content Based Image Retrieval using Color, Shape and Texture

in today’s growing world every single person is with at least one single digital device. Due to the use of digital device the image world is as well growing. Images are very important part of every single human being, it makes human’s daily life easy, it helps person to understand any theory, it makes communication easy. So it is necessary to store the images. But the storage capacities of images are growing day by day. We need a system that store large capacity of images and even retrieve images efficiently. There already exist image retrieval systems that retrieve and store images using keyword It is impossible process for large image database. For large image database there is a basic need of image retrieving system. This problem is solved by Content Based Image retrieval (CBIR) System, it is the system that store and retrieve images based on image content (shape, color, texture). In this paper we have used Fourier descriptor method for shape, HSV histogram for color feature and Gray Level Co-occurrence matrix for texture feature to retrieve the images from the image dataset.