IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 6, Ver. I (Nov – Dec. 2015), PP 87-90 www.iosrjournals.org DOI: 10.9790/0661-17618790 www.iosrjournals.org 87 | Page Proposed Hough Technique for Estimating Climatic Conditions recorded in the Cross Section of Tree Images P.Meenakshi Sundari 1 , S. Britto Ramesh Kumar 2 , 1 Department of Computer Science, Fatima College, Madurai, India. 2 Department of Computer Science, St. Joseph’s College, Tiruchy, India. Abstract: Complex ensemble of shapes in an image is very difficult for segmentation. Hough transform is one of the robust algorithms for detecting geometric shapes in the images. The modification of this Hough transform is used for effecting way of segmenting images. By tuning the parameters of the circle detection model, extracting the concentric shapes is achieved. In this paper, we proposed an algorithm for finding the distance between the concentric closed shapes in an image. These achieved by splitting the image into four quadrants and apply the Hough transform for detecting the curves in each quadrant and finally combine the result of four quadrants and achieve the result. Key-words: Hough Technique, dendrochronologydendroclimatology, edge detection, Gaussian filtering, tree ring. I. Introduction Tree rings records the age of tree and also responses the climatic conditions over the period of growth. It is well known that the approximate age of a temperate forest tree can be established by counting the growth rings in the lower parts of the stem. Growth rings records would be of much promise to retrieve past climatic information in time scale of annual resolution [1]. The pattern of radial growth in trees depends largely on the climatic conditions of different localities and the yearly sequence of favourable and unfavourable climate (wet and dry, warm and cold) is faithfully recorded by the sequence of wide and narrow rings in large numbers of trees[2]. It is essential requirement to study the tree ring for identifying this environment changes. It is also challenging issues for extracting the dendro data from the tree rings. From literature survey [5 - 8], many methods are used for analysing the dendroecological data in the field of dendrochronology, dendroecological and dendroclimatology but failed to meet the requirements. Otherwise, it is limited for use and not focused on the solution of new tasks connected with environment heterogeneity [8]. In this paper, studied the Hough transform and apply it for identifying the growth of ring in each annual. II. Overview Of Hough Transform Feature extraction technique is one of the important processes in digital image processing. Hough transform technique is used for extracting features from an image. This technique is carried out by voting procedure. For detecting parameterized curves in images, this technique is used by mapping the edge points into manifolds in the parameter space[9]. The Houghdetect the peaks in the parameter space, which can be used to trace the shapes in the images. In a straight line (y=mx+b), each edge pixel is mapped with the parameter space m x b (b=-xm+y). To find the peaks in the parameter space, histogram procedure is used by Hough method. The cells, which received more voting in the parameter space, are indicating the shapes in the images.[9] Steps for Hough transform: Pre-processing of Hough transform is smoothing the image by Gaussian filter and then edge detection