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Heart Sound Abnormality Detection Using Short Time Fourier Transform and Continuous Wavelet Transform
TLDR
This paper is concerned with the analysis of the first (S1) and second (S2) heart sound of the Phonocardiogram signal (PCG) using Short -Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT). Expand
  • 17
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Mass Detection in Mammographic Images Using Wavelet Processing and Adaptive Threshold Technique
TLDR
This paper presents, a method for mass enhancement using piecewise linear operator in combination with wavelet processing from mammographic images. Expand
  • 24
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Wavelet Transform Based Abnormality Analysis of Heart Sound
TLDR
This paper is concerned with the analysis of the first (S1) and second (S2) heart sound of the Phonocardiogram signal (PCG) using Discrete Wavelet Transform (DWT) and Continuous Wavelet transform (CWT). Expand
  • 23
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Detection and Segmentation of Pectoral Muscle on MLO-View Mammogram Using Enhancement Filter
TLDR
The presence of predominant density region of the pectoral muscle in Medio-Lateral Oblique view of the mammograms can affect or bias the results of mammograms processing for breast cancer detection using intensity based methods. Expand
  • 5
  • 1
Intensity Based Automatic Boundary Identification of Pectoral Muscle in Mammograms
TLDR
In this paper, we have proposed an intensity based approach for pectoral muscle boundary detection in mammograms. Expand
  • 12
Contrast enhancement in mammograms using homomorphic filter technique
Cancer detection at primary stage is the only solution, to reduce the death rate among the womens, due to breast cancer. Hence, screening of mammograms for detection of masses is essential, which isExpand
  • 8
PLC Based Real Time Process Control Using SCADA and MATLAB
TLDR
This paper presents real time control of process through Programmable Logic Controller using SCADA and MATLAB OPC Toolbox using KEPServerEX. Expand
  • 6
Morphological operation and scaled Réyni entropy based approach for masses detection in mammograms
TLDR
Detection of suspicious masses in mammograms play a vital role in early diagnosis of breast cancer, to reduce the death rate among women. Expand
  • 5
MFCC based robust features for English word Recognition
TLDR
We propose robust features of Mel-frequency Cepstral Coefficients (MFCC) for speech recognition in noisy environments. Expand
  • 5
A wavelet and adaptive threshold-based contrast enhancement of masses in mammograms for visual screening
TLDR
An adaptive threshold-based contrast enhancement method is proposed in this paper for enhancement of suspicious masses in mammograms. Expand