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Article
Improved Adaptive Spiral Seagull Optimizer for Intrusion Detection and Mitigation in Wireless Sensor Network
A system that leverages blockchain technology to protect network data and provide tamper-proof administration, privacy, and intrusion detection for sensor networks. This blockchain technology takes advantage o...
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Chapter and Conference Paper
The Analysis of Srgb Color Space Based Density for Brain Tumor Segmentation
Medical image processing is one of the significant fields to identify the diseases as earlier to diagnose them appropriately. The brain tumor segmentation process is sub branch of a medical image processing fi...
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Chapter
A Deep Learning Based System to Estimate Crowd and Detect Violence in Videos
One of the major concerns throughout the world in all the places of large gatherings during an event is crowd control. The event can be of any form ranging from gatherings of few hundreds to millions. When lar...
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Chapter and Conference Paper
Chatbot-An Intelligent Virtual Medical Assistant
Hospitals and health care centers play a major role in our day to day life. From simple prescription to major surgeries, we all depend on hospitals to maintain our health and this is the protocol followed by a...
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Chapter and Conference Paper
Segmentation of Lung Region: Hybrid Approach
The separation of tumor region from normal tissue in the lung is a challenging task. Separating the tumor region from the normal lung region in the CT image is called nodule Segmentation. There are several met...
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Chapter and Conference Paper
Brain Tumor Segmentation in MRI Sequences Using Autoencoders
delineating brain tumor sub-locality in MR images is very time consuming, requires experienced annotators and has high inter-rater variability. Accurate unmanned segmentation of brain cancer helps in be...
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Chapter and Conference Paper
Design and Implementation of Multi-class Logistic Regression for Effective Classification of Low, Medium and High Risk Lung Cancer Problem
On the occasion of World Cancer Day, the World Health Organization issued two global studies on February 4, 2020. The study shows that during their lifetime, one in ten Indians will grow cancer, and one in 15 ...
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Chapter and Conference Paper
Text-Line Extraction from Historical Kannada Document
In this work, we propose identification of text line from a historical Kannada document. The proposed method consists of three stages: initially, preprocess the image by using Sauvola’s method and then apply t...
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Chapter and Conference Paper
Segmentation of Brain Tumor Tissues in Multi-channel MRI Using Convolutional Neural Networks
Unmanned segmentation of brain tumors is one of the hardest tasks to be solved in Computer Vision. In this work, we focus on Convolutional Neural Network model to segment tumorous cells in MRI brain scans. The...
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Chapter and Conference Paper
Transform-Based Text Detection Approach in Images
Nowadays, every document is very essential to be digitized. Increase in the gadgets where everyone likes to take the information in the form of images, but these images contains important information and neces...
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Chapter
A Mechanism for Detection of Text in Images Using DWT and MSER
The study of video optical character readers (OCR) is an eminent field of research in image processing due to various real-time applications. Hence, in this chapter, an algorithm is proposed for text detection...
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Chapter and Conference Paper
Segmentation of Edema in HGG MR Images Using Convolutional Neural Networks
In this paper, we present the segmentation of edema subregion in the high-grade gliomas (HGGs) MR images We use the T1, T2, FLAIR, and T1c MRI modalities in our work and employ convolutional neural network approa...
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Chapter and Conference Paper
Intensity Normalization—A Critical Pre-processing Step for Efficient Brain Tumor Segmentation in MR Images
In this paper, we present the pre-processing approaches for MRI brain scans. The magnetic bias field correction of MR images is a preliminary step and the subsequent pre-processing step of intensity normalizat...
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Chapter and Conference Paper
Text Line Segmentation of Unconstrained Handwritten Kannada Historical Script Documents
Text line segmentation of historical document is a challenging task in the field of document image analysis due to the presence of narrow spacing between the text lines, overlap** of characters and touching ...
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Chapter and Conference Paper
Analysis of Different Neural Network Architectures in Face Recognition System
Face Recognition is considered to be as one of the finest aspects of Computer Vision, also various Feature Extraction and classification techniques including Neural Network Architectures have made it even more...
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Chapter and Conference Paper
An Exploration of Mixture Models to Maximize between Class Scatter for Object Classification in Large Image Datasets
This paper presents a method for determining the significant features of an image within a maximum likelihood framework by remarkably reducing the semantic gap between high level and low level features. With t...
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Chapter and Conference Paper
An Impact of PCA-Mixture Models and Different Similarity Distance Measure Techniques to Identify Latent Image Features for Object Categorization
In the current image retrieval systems, there exists a problem of defining and identifying efficient features in order to successfully bridge the gap between low level and high level semantics. In this regard,...
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Chapter and Conference Paper
eCS: Enhanced Character Segmentation – A Structural Approach for Handwritten Kannada Scripts
To build an efficient OCR system, preprocessing task of segmentation process should be in accurate way. In segmentation process, character segmentation plays an important role to obtain clear isolated characte...
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Chapter and Conference Paper
Skew Estimation for Unconstrained Handwritten Documents
Document skew estimation is one of the most important and challenging phase in OCR system. Skew estimation of handwritten documents is still remains challenging in the field of document image analysis due to a...
