Block based image segmentation
- Authors: Hasan, Md. Mahmudul , Sharmeen, Shaila , Rahman, Md. Anisur , Ali, M. Ameer , Kabir, Md. Humayun
- Date: 2012
- Type: Text , Conference paper
- Full Text: false
- Reviewed:
- Description: Image segmentation is an important research field due increasing Internet and computer based applications and also for video coding but it is very challenging. There exist a huge number of algorithms for image segmentation using split and merge having some limitations for which pattern based object segmentation using split and merge (PSM) was proposed to overcome the problems of basic split and merge (SM) algorithm being unable to segment properly all types of objects in an image due to huge variations among the objects. Addressing this issue, a new algorithm namely block based image segmentation (BIS) algorithm has been presented in this paper considering multi stage merging technique. The experimental analysis proves the superior performance over the existing algorithm.
- Description: 2014121111
Pattern based object segmentation using split and merge
- Authors: Karim, Ziaul , Paiker, Nafize , Ali, M. Ameer , Sorwar, Golam , Islam, M. M.
- Date: 2009
- Type: Text , Conference proceedings
- Relation: 2009 IEEE International Conference on Fuzzy Systems; Jeju Island; South Korea; 20th- 24th August 2009 p. 2166-2169
- Full Text: false
- Reviewed:
- Description: Split and Merge (SM) algorithm is a well recognized algorithm for segmenting homogeneous regions in an image. Though SM algorithm is simple and easy, this algorithm is unable to segment all type objects in an image successfully due to huge variations among the objects in size, shape, color and intensity. Moreover, the SM algorithm is also highly dependent on threshold values used for split and merge stages. Addressing these issues, a new algorithm namely pattern based object segmentation using split and merge (PSM) considering the basic SM algorithm, the region stability, and the patterns for object extraction. The experimental results prove the superior segmentation performance of the PSM algorithm in comparison with the basic SM algorithm, suppressed fuzzy c-means (SFCM), and object based image segmentation using fuzzy clustering (FISG). ©2009 IEEE.
- Description: IEEE International Conference on Fuzzy Systems