Color image segmentation using histogram thresholding – Fuzzy C-means hybrid approach
- 31 January 2011
- journal article
- Published by Elsevier BV in Pattern Recognition
- Vol. 44 (1), 1-15
- https://doi.org/10.1016/j.patcog.2010.07.013
Abstract
No abstract availableThis publication has 32 references indexed in Scilit:
- An adaptive unsupervised approach toward pixel clustering and color image segmentationPattern Recognition, 2010
- An adaptive neuro-fuzzy system for automatic image segmentation and edge detectionIEEE Transactions on Fuzzy Systems, 2002
- Color image segmentation: advances and prospectsPattern Recognition, 2001
- A hierarchical approach to color image segmentation using homogeneityIEEE Transactions on Image Processing, 2000
- Normalized cuts and image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Image Retrieval: Current Techniques, Promising Directions, and Open IssuesJournal of Visual Communication and Image Representation, 1999
- Quantitative evaluation of color image segmentation resultsPattern Recognition Letters, 1998
- Colour image segmentation by modular neural networkPattern Recognition Letters, 1997
- A survey on evaluation methods for image segmentationPattern Recognition, 1996
- Colour concept retrieval by free colour naming. Identification of up to 30 colours without trainingDisplays, 1995