Abstract: Case Based Reasoning is widely used in conluding problems based on cases happened in the past. The conclusion is based on the similarity of the case in the case base to the problem. Some problems might occur is any uncertainty in the case or in the problem to be solved. This paper presents a computational model of uncertainty in case based reasoning. This model is implemented as a prototype for diagnosing tropical disease.

• Publication Date: 08-May-2016
• DOI: 10.15224/978-1-63248-095-8-03
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Abstract: Automated object recognition methods are essential for numerous applications of machine vision and pattern recognition. For an efficient object representation, a contour-based shape descriptor is designed, with a one dimensional shape signature. The present paper proposes a novel shape signature for recognizing the objects in complex plane. The proposed shape signature is applied on the contour shape representation, and then the description of representative shape features with the corner potential flow measure followed by the Fourier transformation. During recognition process, the Euclidean distance measure is evaluated to estimate the similarity score between the objects. The recital of the proposed shape descriptor has been checked with the Kimia 99 database. The experimental results are found to be robust and invariant to transformations.

• Publication Date: 08-May-2016
• DOI: 10.15224/978-1-63248-095-8-04
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