K
Kalyani Mali
Researcher at Kalyani Government Engineering College
Publications - 101
Citations - 1404
Kalyani Mali is an academic researcher from Kalyani Government Engineering College. The author has contributed to research in topics: Image segmentation & Cluster analysis. The author has an hindex of 18, co-authored 101 publications receiving 923 citations.
Papers
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Journal ArticleDOI
Symbolic classification, clustering and fuzzy radial basis function network
Kalyani Mali,Sushmita Mitra +1 more
TL;DR: Symbolic fuzzy classification is proposed using fuzzy radial basis function network, with fuzzy c-medoids clustering at the hidden layer, with the effectiveness of the symbolic fuzzy classification demonstrated on real-life benchmark data sets.
Proceedings ArticleDOI
Biomedical image enhancement based on modified Cuckoo Search and morphology
Mousomi Roy,Shouvik Chakraborty,Kalyani Mali,Sankhadeep Chatterjee,Soumen Banerjee,Agniva Chakraborty,Rahul Biswas,Jyotirmoy Karmakar,Kyamelia Roy +8 more
TL;DR: This work describes an method for biomedical image enhancement using modified Cuckoo Search Algorithm with some Morphological Operation and a new technique has been proposed to enhance biomedical images using modified cuckoo search algorithm and morphological operation.
Journal ArticleDOI
An Efficient Image Cryptographic Algorithm based on Frequency Domain using Haar Wavelet Transform
TL;DR: An efficient lossless image cryptographic algorithm to transmit pictorial data securely and some parametric tests show that the proposed work is resilient and robust in the field of cryptography.
Book ChapterDOI
A New and Resilient Image Encryption Technique Based on Pixel Manipulation, Value Transformation and Visual Transformation Utilizing Single–Level Haar Wavelet Transform
TL;DR: The authors have proposed a very resilient and novel image encryption/decryption algorithm that is seen to be attack-resistant to well-known attacks.
Book ChapterDOI
Application of Multiobjective Optimization Techniques in Biomedical Image Segmentation—A Study
Shouvik Chakraborty,Kalyani Mali +1 more
TL;DR: The main goal of this chapter is to give a comprehensive study of multiobjective optimization techniques in biomedical image analysis problem that consolidated some of the recent works along with future directions.