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OTSU Thresholding Method for Flower Image Segmentation

Journal: International Journal of Computational Engineering Research(IJCER) (Vol.6, No. 5)

Publication Date:

Authors : ; ;

Page : 01-06

Keywords : Otsu thresholding; segmentation; CIE Lab color space; Region based segmentation; globle thresholding method;

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Segmentation is basic process in image processing. It always produces an effective result for next process. In this paper, we proposed the flower image segmentation. Oxford flower collection is used for segmentation.Different segmentation techniques are available. Different techniques and algorithm are developed to describe the segmentation.We proposed a OTSU thresholding technique for flower image segmentation in this paper. which gives good result as compared with the other methods and simple also.Segmentation subdivide the image into different parts.firstly, segmentation techniques and then otsu thresholding method described in this paper.CIE L*a*b color space is used in thresholding for better results.Thresholding apply seperatly on each L, a and b component. accordingly the features can be extracted like shape, color, texture etc. finally, results with the flower images are shown.

Last modified: 2016-09-17 17:38:31