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A Research On Analysis Of 2D Shape

Posted on:2011-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:J LuFull Text:PDF
GTID:2178360305994577Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
Shape analysis is a method which distinguishes and comprehends the images through extracting characteristics of its object's shape.As an essential issue in the field of computer vision, it has been extensively used in science research as well as engineering technology. Human's understanding of an image depends largely on the perception and distinguishment of the shape of the target image, thus shape becomes the most essential features of characterizing the object, as well as the indescribable one. Thus, how to effectively and exactly describe the characteristics of the shape is left to be the pivotal problem in computer vision operation. This article has focused on the analysis method of 2D images.The extraction of the object's shape in the image is the premise of the shape analysis. To prepare for the shape description, Shapes and their boundary are acquired by preprocessing, threshold segmentation and contour tracing,The description of the shape is vital to shape analysis. This article begin with a shape description method based on the regional Radon transform, which projects the 2D shape to a Radon feature space. And then features insensitive to translation, rotation and scale are obtained within Radon space. Experiments has shown that this features had a better performance.After analyzing the Contour Sequence Moments and Chen Invariant Moment, a combination moment based on them with the ideas of feature fusion was proposed, to overcome the shortcomings of these two methods. It was found that the combination moment after the feature fusion is superior to the Contour Sequence Moment and Chen Invariant Moment.Then a new multiscale fourier descriptors was proposed. In this method, first the contour sequence was spread in Gaussian scale space and then the contour sequences of different scales were expressed as a set of one-dimensional position function. Then its normalized Fourier coefficients are used as the shape descriptors. A good quality of the shape description of this method has been testified through experiments.Finally, a conclusion was brought out after the comparing of these three methods in this paper. And the present research work was summarized with some guiding follow-up ideas for further research.
Keywords/Search Tags:Object Extraction, Radon Transform, combination moment, Fourier Descriptors
PDF Full Text Request
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