Recognition of Geometric Shapes in Images

Viorel Cohal

doi:10.4028/www.scientific.net/AMR.1036.755

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1036Recognition of Geometric Shapes in Images

Recognition of Geometric Shapes in Images

Abstract:

This paper proposes finding optimal ways of recognizing geometric shapes (square, circle, rectangle, etc.) of files in different formats. Shapes recognition is a field of artificial intelligence, which includes all representation and decision techniques to automate the process of identifying similarities between objects or phenomena. An application of shapes recognition requires the definition of descriptors and choosing a distance. An application of shapes recognition is done in two phases: learning and recognition. By learning to calculate the set of descriptors of known (reference). In recognition stage, we calculate the same set of descriptors for unknown form and compared with known shape descriptors. The comparison is made through a distance. Recognition is a decision problem if you say unknown form is the same as the reference shape and if you say unknown form is different form the reference. Classification of forms is done in five steps: Reading and image display, image transformation in binary image and get its negative, Discover crossing thresholds between levels of color, Determine the properties of objects and Classification of objects by shape. Are three methods: Chain codes, the conventional Hough transform, method Harris Corner Detection

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Periodical:

Advanced Materials Research (Volume 1036)

Pages:

755-759

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1036.755

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Online since:

October 2014

Authors:

Viorel Cohal

Keywords:

Chain Codes, Conventional Hough Transform, Harris Corner Detection Geometric Shapes, Images, Recognizing

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References

[1] Gonzalez and Woods, Digital Image Processing, 2nd Edition, Prentice Hal, (2002).

Google Scholar

[2] Smereka M. , and Duleba , I., Circular Object Detection Using a Modified Hough Transform, , Int. J. Appl. Math. Comput. Sci., Vol. 18, 2008, pp.85-91.

DOI: 10.2478/v10006-008-0008-9

Google Scholar

[3] Toontham, K., Toontham, J., and Thongchaisuratkrul, C., An Object Recognition and Identification Systems Using the Harris corner detection Method, , Proceedings of 2011 Machine Learn ICMLC.

DOI: 10.7763/ijmlc.2011.v1.59

Google Scholar