Region Based Image Retrieval Approach Using SVM with Shape and Texture Based Feature
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
The content based image retrieval is important research in medical and internet applications. This aim is searching the images from database based on query image. Region based image retrieval approach using edge following technique with shape and texture based feature are present in this paper. The Gradient based cluster algorithm is used to find the boundaries of noisy medical images. The performance and robustness of edge following technique is tested to detect the objects in different medical images. To accomplish this, local binary pattern (LBP) as texture feature and Hu moments (Hu), Tchybysheve Moments, invariant moment as shape based features are taken in this paper. These shape and texture features are calculated from segmented images and combine as feature vectors. The advantage of feature vector is to reduce the image dimensionality and less computation time. After feature vector is calculated, comparing the feature vector of query image and feature vectors of given database images and then sorted the images based on distance. The proposed method has better to improve the retrievals accuracy, high speed and less computation time. Our obtained results show the proposed method is robust in different medical image alterations. The proposed method obtains 99% retrieval accuracy, which is satisfactory. The region based image retrieval performance of proposed method is tested of 4000 images with 40 different classes.
Authors and Affiliations
Bharath. P, Prasad. C
Keywords
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