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Wavelet based feature extraction method for breast cancer cytology images
Cancer of the breast is the most common cancer among women. Expand
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Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations
Optimization of cutting parameters is valuable in terms of providing high precision and efficient machining. Optimization of machining parameters for milling is an important step to minimize theExpand
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Nonlocal linear minimum mean square error methods for denoising MRI
In this work, an efficient two stage linear minimum mean square error (LMMSE) method is proposed for the enhancement of magnitude MR images in which data in the presence of noise follows a Rician distribution. Expand
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Detection and removal of Salt and Pepper noise in images by improved median filter
A methodology based on median filters for the removal of Salt and Pepper noise by its detection followed by filtering in both binary and gray level images has been proposed in this paper. Linear andExpand
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Estimation of real-valued sinusoidal signal frequencies based on ESPRIT and propagator methods
  • P. Palanisamy, S. Kar
  • Computer Science
  • International Conference on Recent Trends in…
  • 3 June 2011
In this paper, two new techniques are proposed for estimating multiple real-valued sine wave frequencies based on ESPRIT and propagator methods. Expand
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Improved tolerance based selective arithmetic mean filter for detection and removal of impulse noise
A superior methodology based on Improved tolerance based selective arithmetic mean filtering technique for the detection and removal of Salt and Pepper Noise on corrupted images is presented in this paper. Expand
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Prediction of tool wear using regression and ANN models in end-milling operation
Tool wear prediction plays an important role in industry for higher productivity and product quality. Flank wear of cutting tools is often selected as the tool life criterion as it determines theExpand
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Log-gabor wavelets based breast carcinoma classification using least square support vector machine
In this paper, nucleus of core needle biopsy samples are investigated after decomposition by means of the log-gabor wavelet transform and a novel method is developed to compute the complex color wavelet features based on the color textural information. Expand
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Complex wavelet as nucleus descriptors for automated cancer cytology classifier system using ANN
In this paper, Dual-tree complex wavelets transform based decomposition method for cytology images is approached. Expand
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Complex wavelet based texture features of cancer cytology images
A new method is developed to characterize nucleus clusters variable and distinguish malignant samples from benign in cytological breast fine needle aspirate images by means of the Complex Discrete Wavelet Transform. Expand
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