A5048325284- Medical Image Segmentation Techniques
- Advanced Image Fusion Techniques
- Metaheuristic Optimization Algorithms Research
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Blind Source Separation Techniques
- Advanced Image Processing Techniques
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Advanced Neural Network Applications
- Remote-Sensing Image Classification
- Impact of Light on Environment and Health
- Music and Audio Processing
- Analog and Mixed-Signal Circuit Design
- Electrical and Bioimpedance Tomography
- Water Quality Monitoring Technologies
- Industrial Vision Systems and Defect Detection
- Solar Radiation and Photovoltaics
- Advanced Steganography and Watermarking Techniques
- Visual Attention and Saliency Detection
- Smart Parking Systems Research
- Underwater Acoustics Research
Indian Institute of Management Visakhapatnam
2018-2024
Siksha O Anusandhan University
2023
The prey gets completely exhausted in Harris hawks optimization (HHO), when the escape energy is zero. Its exploration ability limited. random operator selected HHO a waste of search agents (Harris hawks). To solve problem, we propose new differential evolutionary adaptive Hawks (DEAHHO). In this effort, phase suitably modified to limit within range 2,0. Also, it made decide hawk would do perch along with other family members or move tall tree. Further, concept incorporated enhance ability....
In this research, Kaniadakis entropy (KE) derived from the energy curve is adopted to construct an objective function for thresholding of images at various levels. addition histogram's property, maintains image's spatial contextual information. This additional data aids in threshold selection process, resulting a more accurate segmented image. To optimize function, new Black widow optimization with gaussian mutation algorithm (BWOG) also proposed paper enhanced population diversity by...
Current research work is designing the biological visual system which can emulate human system. Image segmentation one of important initial steps in this area. There are different approaches to perform segmentation. One well-known techniques image separate objects from background thresholding. Segmentation using multiple thresholds treated as an optimization problem most cases. This be done by maximizing or minimizing a given objective function. paper presents comparison seven well known...
A new technique for suppression of Random valued impulse noise from the contaminated digital image using Back Propagation Neural Network is proposed in this paper. The algorithms consist two stages i.e. Detection Impulse and Filtering identified noisy pixels. To classify between non-noisy element present a feed-forward neural network has been trained with well-known back propagation algorithm first stage. make detection method more accurate, Emphasis given on selection proper input...