Analysis of the image moments sensitivity for the application in pattern recognition problems

Šariri, Kristina (2010) Analysis of the image moments sensitivity for the application in pattern recognition problems. Doctoral thesis, Faculty of Science > Department of Physics.

Language: Croatian

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Image moments are numerical descriptors invariant to translation, rotation, change of scale and some types of image distortion and their analysis is one of the most often used methods in image processing and pattern recognition. In this work, algorithms for calculation of geometric, Legendre, Zernike, Fourier – Mellin and three types of Fourier – Jacobi moments were implemented in MatLab. Hu's, affine and blur invariants were also obtained as well as inverse problem of input image reconstruction solved. For each type of image moments exept geometric ones the set of sensitivity vectors for rotation and scale were defined. Their components are those image moments which describe more important features of the input image. These new descriptors were applied for classification of handwritten letters and identifying personal photos. It was shown that the process of such descriptor calculation is much faster and simpler while preserving all the relevant information about input image. Using this method, the signs carved in two glagolitic inscriptions were analyzed and the mixture of triangular and round glagolitic letters found. The method was also applied to classification of the mutant fruit fly larvae crawling trails which is needed in studying responses of the nervous system to different stimuli.

Item Type: Thesis (Doctoral thesis)
Keywords: image analysis ; pattern recognition ; invariant features ; image moments ; sensitivity vector
Supervisor: Demoli, Nazif
Date: 24 November 2010
Number of Pages: 138
Subjects: NATURAL SCIENCES > Physics
Divisions: Faculty of Science > Department of Physics
Depositing User: Gordana Stubičan Ladešić
Date Deposited: 22 Dec 2013 21:43
Last Modified: 23 Dec 2013 10:17

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