Zernike Moments and Genetic Algorithm: Tutorial and Application
Babatunde Oluleye, Armstrong Leisa, Jinsong Leng, Diepeveen Dean
Journal of Advances in Mathematics and Computer Science · pp. 2217–2236 · Published 12 Jun 2014
10.9734/BJMCS/2014/10931Abstract
Aims/ objectives: To demontrate effectiveness of Zernike Moments for Image Classification. Zernike moment(ZM) is an excellent region-based moment which has attracted the attentions of many image processing researchers since its first application to image analysis. Many papers have been published on several works done on ZM but no single paper ever give a detailed information of how the computation of ZM is done from the time the image is captured to the computation of ZM. This work showed how to effectively apply ZM on RGB images. We have demonstrated the effectiveness of Zernike moment in image classification system. A neuro-genetic intelligent system has been built with PNN classifier. The feature extracted viz ZM and Geometric features were further subjected to GA to bring the best combinatorial features for optimal accuracy. The algebraic structure of our novel fitness function enabled the GA to select the best results. The 10-fold CV used enabled the whole system to be unbiased giving a classification accuracy of 90.05%. A demonstration of affine properties of ZM are comprehensively stated and explained. In summary, the ZM enabled the classifier to have improved accuracy of 91% as compared with Geometric features with 89% accuracy.
References (26)
- 1 An Introduction to Genetic Algorithms [DOI]
- 2 Image analysis via the general theory of moments* [DOI]
- 3 Introduction to genetic algorithms [DOI]
- 4 A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network [DOI]
- 5 Feature Extraction and Image Processing [DOI]
- 6 The Image Processing Handbook [DOI]
- 7 Moments and Moment Invariants in Pattern Recognition [DOI]
- 8 Introduction to genetic algorithms [DOI]
- 9 Probabilistic neural networks for classification, mapping, or associative memory [DOI]
- 10 Feature Extraction and Image Processing for Computer Vision [DOI]
- 11 On the independence of rotation moment invariants [DOI]
- 12 Feature Extraction & Image Processing for Computer Vision [DOI]
- 13 Quaternion Zernike moments and their invariants for color image analysis and object recognition [DOI]
- 14 EXPERIMENTS OF ZERNIKE MOMENTS FOR LEAF IDENTIFICATION 1
- 15 Image analysis by moments
- 16 Neural Network Application on Foliage Plant Identification [DOI]
- 17 OBJECT CLASSIFICATION VIA GEOMETRICAL, ZERNIKE AND LEGENDRE MOMENTS
- 18 Image Reconstruction with Polar Zernike Moments [DOI]
- 19 Comparative Study of Hu Moments and Zernike Moments in Object Recognition [DOI]
- 20 A Robust Image Hashing Method Based on Zernike Moments
- 21 Probabilistic Neural Network inversion for characterization of coalbed methane [DOI]
- 22 A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images [DOI]
- 23 Study of Zernike moments using analytical Zernike polynomials
- 24 The Image Processing Handbook [DOI]
- 25 Journal of Computational Information Systems [DOI]
- 26 IEEE International Conference on Neural Networks [DOI]
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