R. C. Shivamurthy ¹, M. B. Manjunatha ²

Affiliations
1 Computer Science Engineering, Jain University, Bangalore - 560069, Karnataka, IN
2 Akshaya Institute of Technology, Tumkur - 572106, Karnataka, IN

Abstract

Image retrieval is like a system of in which, we can do searching and browsing then, finally retrieving a medical image from a very huge given a database of medical images. To identify or examine the image content, there must be some desired approaches. Hence, the goal of the proposed project is to retrieval of the histopathologicl image using CBIR method using GLCM technique. Finally, the results will be calculated by analyzing the results obtained in this method. Then we will calculate the GLCM contrast as well as GLCM correlation to retrieval of an image. These sets will enable new research opportunities, and they will improve and flow benchmark reviews. Our experimental result shows that our novel proposed method achieves better performance.

Keywords

GLCM Constrast, GLCM Correlation, Histopathological Image, Image Retrieval, Method, Medical Image

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R. C. Shivamurthy ¹, M. B. Manjunatha ²

Affiliations
1 Department of CSE, Jain University, Bangalore - 560069, Karnataka, IN
2 Department of ECE, AIT, Tumkur - 572106, Karnataka, IN

Abstract

Image feature extraction as well as retrieval of a medical image is a major problems CBIR technique. there is an improvement of networking and communication systems and other tools, which leads to imagine a numerous application for common users. The medical image retrieval is fast growing techniques in all the research fields. Many medical image retrieval approaches are still incapable to provide precise retrieval results along with high visual perception and also very less computational density. To report these issues, this paper illustrates and established a novel methodology for CBIR using 2D-Wavelet Transform (DWT). Here, we going to create a database of medical images utilizing CBIR method. DWT algorithm is applied to extract the feature of given query input image. By getting the horizontal and vertical projections of summation of pixels analyzing of BC coefficients are done. The Bhattacharyya Coefficients (BC) is used to find the similarity score of all the images. Based on the similarity score, the algorithm will select the most suitable images, similar to given query image. The highest value of BC images is the retrieved by the un trained database present in the system.

Keywords

Bhattacharyya Coefficients, CBIR Method, Chest X-ray Image, DWT, Healthcare Systems

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