Browsing by Keywords "Recognition rates"
Now showing items 1-5 of 5
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Cepstrum based feature extraction method for fungus detection
(SPIE, 2011)In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. ... -
Detection of fungal damaged popcorn using image property covariance features
(Elsevier, 2012)Covariance-matrix-based features were applied to the detection of popcorn infected by a fungus that causes a symptom called " blue-eye" . This infection of popcorn kernels causes economic losses due to the kernels' poor ... -
Image feature extraction using 2D mel-cepstrum
(IEEE, 2010)In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually ... -
Mel-cepstral methods for image feature extraction
(IEEE, 2010)A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article. Feature ... -
Two-dimensional Mellin and mel-cepstrum for image feature extraction
(Springer, Dordrecht, 2010)An image feature extraction method based on two-dimensional (2D)Mellin cepstrum is introduced. The concept of one-dimensional (1D) melcepstrum which is widely used in speech recognition is extended to two-dimensions both ...