An Approach for Identification of Objects from Object-based Images using CBIR

In the field of Image Processing, identification of the multi-objects in a single image is one of the challenging task to provide the suitable solution. The challenges come across this type of detection are accurate distinguishing of one object from another and providing solution to objects oriented in multiple views in different images. Cluttering is also one of the drawbacks in the identification of the object based images. As a solution to that, Content Based Information Retrieval [CBIR] will helps in detecting multiple objects in their multiple angular view. One of the advantages of CBIR is that it could analyze the images by doing segmentation. It will extract the unique surface features from each object like colour, shape, size and position of the object. Based on this information, it’s going to identify different objects from the same image. In proposal model, it is going to provide a novel solution for multi viewed, multi object identification in the retrieved images is going to be provided with the help of Content based Image Retrieval (CBIR).