Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

R, A, A, V, Markarkandy, Bijith (2012) Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/specialissue.2012.020102

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleColor &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns
JournalInternational Journal of Advanced Computer Science and Applications
AuthorsR, AAuthor
A, VAuthor
Markarkandy, BijithAuthor
Year2012Volume2
PublisherThe Science and Information Organization
DOIdoi:10.14569/specialissue.2012.020102Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10368600Long-form Identifiermindat:1:5:10368600:6
GUID0
Full ReferenceR, A, A, V, Markarkandy, Bijith (2012) Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/specialissue.2012.020102
Plain TextR, A, A, V, Markarkandy, Bijith (2012) Color &Texture Based Image Retrieval using Fusion of Modified Block Truncation Coding (MBTC) and Kekre Transform Patterns. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/specialissue.2012.020102
In(n.d.) International Journal of Advanced Computer Science and Applications Vol. 2. The Science and Information Organization

See Also

These are possibly similar items as determined by title/reference text matching only.

R, A, Vinayak, Dr., H, Dr. (2013) Satellite Image Retrieval using Modified Block Truncation Coding and Kekre Transform Patterns. International Journal of Advanced Computer Science and Applications, 3. doi:10.14569/specialissue.2013.030103
A, Saroj, C., Shubhangi (2012) A Comparative Study on Retrieved Images by Content Based Image Retrieval System based on Binary Tree, Color, Texture and Canny Edge Detection Approach. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/specialissue.2012.020106
Ashok, Vinayak (2012) Texture Feature Extraction For Biometric Authentication using Partitioned Complex Planes in Transform Domain. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/specialissue.2012.020105
Cai, Zhifang (2025) Color Multi-Focus Image Fusion Method Based on Contourlet Transform. International Journal of Advanced Computer Science and Applications, 16 (2). doi:10.14569/ijacsa.2025.0160281
Johari, Punit Kumar, Kumar, Rajendra (2020) An Improved Image Retrieval by Using Texture Color Descriptor with Novel Local Textural Patterns. International Journal of Advanced Computer Science and Applications, 11 (9) doi:10.14569/ijacsa.2020.0110932
Hamad, Syed, Iqbal, Arif, Naz, Saeeda, ul, Noor, Imran, Muhammad, AlHaqbani, Bandar (2016) Content-Based Image Retrieval Using Texture Color Shape and Region. International Journal of Advanced Computer Science and Applications, 7. doi:10.14569/ijacsa.2016.070156
D.Thepade, Sudeep, Subhedarpage, Krishnasagar, A. Mali, Ankur, S. Vaidya, Tushar (2013) Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces. International Journal of Computer Applications, 64. 35-38 doi:10.5120/10616-5334
ELBALAOUI, Abderrahmane, , M.FAKIR, , N.IDRISSI, , A.MARBOHA (2013) Review of Color Image Segmentation. International Journal of Advanced Computer Science and Applications, 3. doi:10.14569/specialissue.2013.030204
Alnihoud, Jehad Q. (2018) Image Retrieval System based on Color Global and Local Features Combined with GLCM for Texture Features. International Journal of Advanced Computer Science and Applications, 9. doi:10.14569/ijacsa.2018.090923
N, Jignesh, Suprava, Dr. (2011) Automatic Image Registration Using Mexican Hat Wavelet, Invariant Moment, and Radon Transform. International Journal of Advanced Computer Science and Applications, 1. doi:10.14569/specialissue.2011.010111
Palai, Charulata, Jena, Pradeep Kumar, Pattanaik, Satya Ranjan, Panigrahi, Trilochan, Mishra, Tapas Kumar (2023) Content-Based Image Retrieval using Encoder based RGB and Texture Feature Fusion. International Journal of Advanced Computer Science and Applications, 14 (3) doi:10.14569/ijacsa.2023.0140328
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 23, 2025 20:11:54
Go to top of page