A new statistical rule model for image retrieval system of remote sensing images

RGIRS (Remote Geo-system Image Retrieval System) is a system of retrieving similar image using image features like color feature, texture feature and shape feature. Content based image retrieval system extracts features relevant to query image using feature extraction method. Many RGIRS systems are proposed to retrieve accurate similar image but the problem is no method provides accurate results. In this paper a new Statistical Rule Model is proposed to retrieve the image from the database using threshold based Euclidean distance calculation. The input query image features are extracted and sent to the SVM Model. The SVM will compare input image features with trained features and test the features with distributed density function. Once the image class is identified, the features are rearranged and calculate the distance using Euclidean distance calculation. A threshold value is fixed for retrieval. If the calculated distance is less than the threshold value the image will be retrieved or if the distance exceeds threshold value then the image will not be retrieved.