Browsing by Author "SHADAB HASHMAT"

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    DENDROCHRONOLOGY: ESTIMATING TREE LIFE BASED UPON TREE RINGS
    (UMT, Lahore, 2018) SHADAB HASHMAT
    Natural disasters affect the economy and society of a country, furthermore they are also caused by the weather. The understanding of past climate conditions help us predict natural disasters over a period of years. Scientists and researchers are doing lots of work in the domain of predicting climate condition. From all domains, information that extracts from natural evidences like ice core, tree-ring and verve (rock) give more precise result while predicting climate and natural disasters. Tree rings pattern are biggest source of information than others in term of predicting climate changes. The method for analyzing pattern of tree-rings or study tree-rings is known as dendrochronology. Dendrochronology is scientific method for dating tree-rings. There are various methods and techniques proposed for dendrochronology but still the methods have to be improved for better performance. In this thesis, we create an automatic computerized system for dendrochronology based on computer vision techniques. This system estimates tree’s age in three phases including preprocessing, tree-ring detection and determining tree’s age. In preprocessing phase, we convert image to grayscale for size reduction and for noise removal and smoothness, Gaussian filtering is used. For tree-ring detection, we used Sobel edge detector and for estimating age proposed a novel technique which determine trees age by counting number of continuous consecutive black and white pixels in edge image. For this research, we created own dataset of 120 images of horizontal cross section of tree-rings from different sites. We conducted experiment on that dataset and obtained 90.84% accuracy of tree-ring detection. The other main contribution of this thesis is generating labeled dataset which facilitate future researches.