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http://hdl.handle.net/2080/356
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| Title: | Image Segmentation Using Thresholding and Genetic Algorithm |
| Authors: | Kanungo, P
Nanda, P K
Samal, U C |
| Keywords: | Segmentation
Genetic Algorithms |
| Issue Date: | 2006 |
| Publisher: | NIT, Rourkela, India |
| Citation: | Proceedings of the Conference on Soft Computing Technique for Engineering Applications, SCT 2006, March 24-26, 2006, Rourkela, India |
| Abstract: | In this paper the problem of image segmentation is addressed
using the notion of thresholding. A new approach based on Genetic
Algorithm (GA) is proposed for selection of threshold from the
histogram of images. Specifically GA based crowding algorithm is
proposed for determination of the peaks and valleys of the
histogram. Experimental results are provided for histogram with
bimodal feature, however, this technique can be extended to multi
threshold selection for histograms with multimodal feature. |
| Description: | Copyright for this article belongs to National Institute of Technology, Rourkela |
| URI: | http://hdl.handle.net/2080/356 |
| Appears in Collections: | Conference Papers
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| Pkanungo_Pknanda_Usamal_SCT20061.pdf | | 487Kb | Adobe PDF | View/Open |
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