Title :
Image Recognition Based on Radial Harmonic Fourier Moments and SVM
Author :
Hu, Haitao ; Kong, Lingqian
Author_Institution :
Coll. of Comput. & Inf. Eng., Henan Univ. of Econ. & Law, Zhengzhou, China
Abstract :
We propose a new algorithm for recognizing cell images by using Radial Harmonic Fourier moments (RHFMs) to extract features of cell images and by combing RHFMs with Support Vector Machine (SVM). In recognizing different kinds of cells, this algorithm can make generalization come true in the process of extraction and recognition of the features of cells. It is also advantageous in the speed and accuracy of recognition.
Keywords :
Fourier analysis; feature extraction; image recognition; support vector machines; SVM; cell images feature extraction; image recognition; radial harmonic Fourier moments; Accuracy; Feature extraction; Harmonic analysis; Image recognition; Shape; Support vector machines; Training; Image moments; OFMMs; RHFMs; Support Vector Machine;
Conference_Titel :
Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4673-1683-5
DOI :
10.1109/ICICSE.2012.37
