75 citations · 306 across the 59 of their papers we have counts for
6 papers · 1 filter
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection
Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher +4
Our proposed hyper kurtosis based histogram equalized DIC images enhances the contrast by preserving the brightness. The evolution and development of precancerous activity among ti…
A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast Enhancement Purpose of Low Contrast Human Brain CT scan images
Sabyasachi Mukhopadhyay, Soham Mandal, Sawon Pratiher +4
In this paper, a comparative study between proposed hyper kurtosis based modified duo-histogram equalization (HKMDHE) algorithm and contrast limited adaptive histogram enhancement…
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection
Sabyasachi Mukhopadhyay, Nandan K. Das, Soham Mandal +5
In this paper, we have carried out the detail studies of pre-cancer by wavelet coherency and multifractal based detrended fluctuation analysis (MFDFA) on differential interference…
Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA domain
Sabyasachi Mukhopadhyay, Soham Mandal, Nandan K Das +4
CT scan images of human brain of a particular patient in different cross sections are taken, on which wavelet transform and multi-fractal analysis are applied. The vertical and hor…
Locally Adaptive Block Thresholding Method with Continuity Constraint
S. Hemachander, Amit Verma, Siddharth Arora +1
We present an algorithm that enables one to perform locally adaptive block thresholding, while maintaining image continuity. Images are divided into sub-images based some standard…
Multilevel Thresholding for Image Segmentation through a Fast Statistical Recursive Algorithm
Siddharth Arora, Jayadev Acharya, Amit Verma +1
A novel algorithm is proposed for segmenting an image into multiple levels using its mean and variance. Starting from the extreme pixel values at both ends of the histogram plot, t…