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      • HARVEST
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      • HARVEST
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      An Adaptive Shape Recognition System for Leaves

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      Ai_Biao_1995_sec.pdf (3.206Mb)
      Date
      1995-01
      Author
      Ai, Biao
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Shape recognition is a challenging problem within the study of image processing and image understanding. The thesis presents a study of an adaptive shape recognition system based on image segmentation, shape description and,neural networks. An adaptive method was chosen so that it could adapt to the shapes of interest to achieve the broad application of the shape recognition system. An image segmentation technique was implemented to automatically separate the objects in the image. A shape description technique was used to extract characteristics of a shape through calculation of its Projection Length Sequences (PLS) at different angles. Algorithms were developed that could tolerate a certain amount of occlusion and noise on the shape. A neural network was designed and trained as an adaptive classifier to recognize the PLS of different shapes. The training algorithm helps the system to recognize shapes with a variety of orientations. The experimental results presented in this thesis show that the system gives a 93% average recognition rate for a set of images that include tree leaves with three different shapes.
      Degree
      Master of Science (M.Sc.)
      Department
      Electrical and Computer Engineering
      Program
      Electrical Engineering
      Supervisor
      Wood, H. C.
      Copyright Date
      January 1995
      URI
      http://hdl.handle.net/10388/8385
      Collections
      • Graduate Theses and Dissertations
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