ISSN (e): 2250 – 3005 || Volume, 06 || Issue, 05||May – 2016 || International Journal of Computational Engineering Research (IJCER) www.ijceronline.com Open Access Journal Page 1 OTSU Thresholding Method for Flower Image Segmentation Amruta B. Patil 1 , J.A.shaikh 2 1 Electronics Engineearing, PVPIT ,Budhgaon, Sangli,M S, India. 2 Electronics Engineearing, PVPIT ,Budhgaon, Sangli,M S, India. I. Introduction Segmentation technique subdivides an image into different parts. It is a high level task which gives variety of applications including object recognition, scene analysis or image/video indexing[1]. Image segmentation refers to the process of partitioning a digital image into multiple segments i.e. set of pixels, pixels in a region are similar according to some homogeneity criteria such as color, intensity or texture, so as to locate and identify objects and boundaries in an image [2]. Thousands of different segmentation techniques are present in the literature, but there is not a one method which can be considered better for different images, all methods are not equally good for a particular type of image [3].Following are the different steps for the proposed method. II. Proposed segmentation schema Normally flower area contain a large green area covered by leaves and the remaining area is of flower which also occupied by its color.The color is discriminative and canbe used as a homogeneity criterion to execute foreground/ background segmentation [8]. In the first step we are converting RGB image into Lab color space. Pre processing has done ,median filter is used for removal of noise present in the flower image.Applying OTSU thersholding on each Lab component separeatly.Finally,by choosing the best result and applying the postprocessing step for removing the all small regions from the background depending upon the threshold value segmentation result will be obtained. Oxford data set is used for this experiment.some of which shown in Fig.2. RGB Image Lab Image L component a component b component Pre processing Pre processing Pre processing OTSU OTSU OTSU Evaluation of best result Post processing Final Segmentation Result Fig.1.Steps for proposed method ABSTRACT 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. Keywords: Otsu thresholding, segmentation, CIE Lab color space, Region based segmentation, globle thresholding method.