Gray Scale Image Segmentation using OTSU Thresholding Optimal Approach
Author(s):
Patil Priyanka vijay , D. N. Patel college of engineering, SHAHABA,MP-INDIA; Prof. N. C. Patil , D. N. Patel college of engineering, SHAHABA,MP-INDIAKeywords:
OTSU, Image Segmentation, ThresholdingAbstract:
Image segmentation is often used to distinguish the foreground from the background. Image segmentation is one of the difficult research problems in the machine vision industry and pattern recognition. Thresholding is a simple but effective method to separate objects from the background. A commonly used method, the Otsu method, improves the image segmentation effect obviously. It can be implemented by two different approaches: Iteration approach and Custom approach. In this paper both approaches has been implemented on MATLAB and give the comparison of them and show that both has given almost the same threshold value for segmenting image but the custom approach requires less computations. So if this method will be implemented on hardware in an optimized way then custom approach is the best option.
Other Details:
| Manuscript Id | : | J4RV2I5013 |
| Published in | : | Volume : 2, Issue : 5 |
| Publication Date | : | 01/08/2016 |
| Page(s) | : | 20-24 |
