6aee6174-a3ff-4a2d-856b-37882794e3f120210408021234730naunmdt@crossref.orgMDT DepositInternational Journal of Circuits, Systems and Signal Processing1998-446410.46300/9106http://www.naun.org/cms.action?id=3029118202111820211510.46300/9106.2021.15https://naun.org/cms.action?id=23283Content Based Image Retrieval using Multi-level 3D Color Texture and Low Level Color Features with Neural Network Based Classification SystemPriyeshTiwariDepartment of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, IndiaShivendra NathSharanDepartment of Electronics and Communication Engineering, NIIT University Nimrana, Neemrana, IndiaKulwantSinghDepartment of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, IndiaSurajKamyaSr. Data Scientist, Lagozon Technologies Pvt.Ltd., Noida,IndiaContent based image retrieval (CBIR), is an application of real-world computer vision domain where from a query image, similar images are searched from the database. The research presented in this paper aims to find out best features and classification model for optimum results for CBIR system.Five different set of feature combinations in two different color domains (i.e., RGB & HSV) are compared and evaluated using Neural Network Classifier, where best results obtained are 88.2% in terms of classifier accuracy. Color moments feature used comprises of: Mean, Standard Deviation,Kurtosis and Skewness. Histogram features is calculated via 10 probability bins. Wang-1k dataset is used to evaluate the CBIR system performance for image retrieval.Research concludes that integrated multi-level 3D color-texture feature yields most accurate results and also performs better in comparison to individually computed color and texture features.482021482021265270https://www.naun.org/main/NAUN/circuitssystemssignal/2021/a602005-030(2021).pdf10.46300/9106.2021.15.30https://www.naun.org/main/NAUN/circuitssystemssignal/2021/a602005-030(2021).pdf10.1109/icsigsys.2019.8811089Zakhayu Rian, Viny Christanti, Janson Hendryli “Content-Based Image Retrieval using Convolutional Neural Networks” 2019 IEEE International Conference on Signals and Systems (ICSigSys).10.1109/tpami.2003.1227984Jia Li, J.Z. Wang “Automatic Linguistic Indexing of Pictures by a statistical modeling approach” IEEE Transactions on Pattern Analysis and Machine Intelligence ( Volume: 25 , Issue: 9 , Sept. 2003 ).10.1109/iv.2019.00021Luiz Gustavo S. Real, Renato Bueno, Marcela X. 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