Content Based Satellite Cloud Image Retrieval Using Texture Features

This paper proposes, the retrieving satellite cloud images from satellite cloud database images using the texture features. The traditional image retrieval technique is inefficient in retrieving these images. Content-based image retrieval is an approach from data mining community which provides the solution of managing this huge quantity of data. In this research, a Content-Based Image Retrieval (CBIR) system has been developed using texture features from the satellite image repository. The system allows the user to search for an image on the basis of any texture features. The texture features are extracted using gray level co-occurrence matrix method and Euclidean distance metric is used to compute the similarity between the images. The system is robust as it provides search based on the multiple features and it can also retrieve the images in which are rotated with an angle ''. The performance of the system was evaluated by analyzing the retrieval results using precision