Fast retrieval and efficient identification of monument images using features based adaptive clustering and optimized deep belief network

ABSTRACT

Content-Based Image Retrieval (CBIR) is an extensively used image processing technique for retrieving similar images (general, images, monument images, etc) from large datasets. Some existing approaches' accuracy and retrieval time are ineffective for monument image retrieval. To overcome these challenges, the monument images are identified and retrieved efficiently using the visual feature extraction and adaptive density-based clustering approach (ADCA). Features required for efficient retrieval is obtained and the obtained multiple features are fused into a single feature using the hybrid weighted and average weighted methods. An optimized Deep belief network (ODBN) is designed to label the clusters based on the grouped images and then retrieve the images relevant to query images. From the experimental results, the overall accuracy achieved by the proposed framework are 99.63% (Architectural heritage dataset), 98.88% (synthetic dataset) and 99.1% (Kaggle dataset), respectively. The experimental results proved the efficiency of proposed in retrieving monument images.

KEYWORDS:

• Content-based image retrieval
• Monument image
• multiple feature fusion
• deep belief network
• adaptive density based clustering
• cgabor filter
• cross-guided bilateral filter
• mellin zernike moment

Data availability statement

Data sharing does not apply to this article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jaimala Jha

Jaimala Jha is working as an assistant professor in MITS Gwalior. Shes has done Mtech in SATI Vidisha M.P. and perusing PhD. in RGPV Bhopal (M.P). Her academic experience is about 13 years in M.I.T.S. Gwalior (M.P.). She has published more than 20 research paper in the area of image processing. research area: image processing, Data Mining, Software engineering, Artificial Intelligence.

Sarita Singh Bhaduaria

Dr. Sarita Singh Bhaduaria is working as a professor in MITS Gwalior. She has done PhD. In RGPV Bhopal (M.P.) and her academic experience is about 30 years and her research area is image processing, Wireless Communication, Adhoc Networks and Software Engineering. She has more than 70 research papers and also completed one project.