Comparative analysis of content based image retrieval techniques using color histogram: A case study of GLCM and K-Means clustering
Content based image retrieval is an active research issue that had been famous from 1990s till present.The main target of CBIR is to get accurate results with lower computational time. This paper discusses on the comparative method used in color histogram based on two major methods used frequently i...
Saved in:
Main Authors: | Mohamad Rasli, Ruziana, Tuan Muda, Tuan Zalizam, Yusof, Yuhanis, Abu Bakar, Juhaida |
---|---|
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2012
|
主題: | |
在線閱讀: | http://repo.uum.edu.my/19662/1/ICISMS%202012%20283-286.pdf http://repo.uum.edu.my/19662/ http://doi.org/10.1109/ISMS.2012.111 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Comparative analysis of content-based image retrieval techniques
由: Tuan Muda, Tuan Zalizam, et al.
出版: (2012) -
Image processing for paddy disease detection using K-Means Clustering and GLCM Algorithm
由: A. F. A., Ahmad Effendi, et al.
出版: (2022) -
Colour feature based analysis on content-based image retrieval techniques
由: Tuan Muda, Tuan Zalizam, et al.
出版: (2014) -
GLCM based Adaptive Crossed Reconstructed (ACR) k-mean clustering hand bone segmentation
由: Chai, H. Y., et al.
出版: (2011) -
GLCM based adaptive crossed reconstructed (ACR) k-mean clustering hand bone segmentation
由: Tan, Tian Swee, et al.
出版: (2011)