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Papers by pinaki pratim Acharjya

Research paper thumbnail of An image matching method for digital images using morphological approach

Zenodo (CERN European Organization for Nuclear Research), Nov 23, 2013

Image matching methods play a key role in deciding correspondences between two image scenes. This... more Image matching methods play a key role in deciding correspondences between two image scenes. This paper presents a method for the matching of digital images using mathematical morphology. The proposed method has been applied to real life images. The matching process has shown successful and promising results.

Research paper thumbnail of Comparative Study and Analysis of Edge Detection Operators in Marker Controlled Watershed Transformation Algorithm on Various Medical Images

International Journal of Computer Applications

Edge is a basic and important piece of information that can be examined and manipulated by variou... more Edge is a basic and important piece of information that can be examined and manipulated by various edge detection methods. Edge detection is the process used in digital image processing to determine image boundaries and remove unwanted areas from digitised images. Edge detection generally filters out the important and useful information from the whole structural image. In this chapter, edge detection methods and their mathematical implementations have been compared through first-order edge detection operators like Sobel, Canny, Robert, Prewitt, etc. using marker-controlled watershed transformation. In morphological image processing, the edge detection algorithm includes functions such as edge and markercontrolled watershed segmentation. The edge detection techniques are applied to different medical images. Simulation of edge detection techniques has been carried out using MATLAB, and the comparison is made on the basis of statistical measurements.

Research paper thumbnail of A Study on Two-Temperature Generalized Thermoelasticity and Its Applications

Research paper thumbnail of An image matching method for digital images using morphological approach

Zenodo (CERN European Organization for Nuclear Research), Nov 23, 2013

Image matching methods play a key role in deciding correspondences between two image scenes. This... more Image matching methods play a key role in deciding correspondences between two image scenes. This paper presents a method for the matching of digital images using mathematical morphology. The proposed method has been applied to real life images. The matching process has shown successful and promising results.

Research paper thumbnail of Deep Learning

Research paper thumbnail of Concepts and Techniques in Deep Learning Applications in the Field of IoT Systems and Security

Research paper thumbnail of Design a Web Security Testing Mechanism by Using Semantic Comparision Method to Prevent Cross Site Scripting Attacks

NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO, Nov 7, 2021

Research paper thumbnail of A new Approach Of Watershed Algorithm Using Distance Transform Applied To Image Segmentation

A new approach of Watershed Algorithm using Distance Transform is applied to Image Segmentation i... more A new approach of Watershed Algorithm using Distance Transform is applied to Image Segmentation is discussed in this paper. After applying Watershed Algorithm we get an over-segmented image. The watershed algorithm with Laplacian of Gaussian (LoG) edge detector is used to detect the edges of the image and produce an image which is less over-segmented. The proposed algorithm will detect a detailed and an accurate image.

Research paper thumbnail of An Analysis of Watershed Approach with Distance Transform and Laplacian of Gaussian Operator in Regard to Evaluating Medical Images

International Journal of Computer Science and Mobile Computing

The target of doing image segmentation basically to modify and simplification of an image represe... more The target of doing image segmentation basically to modify and simplification of an image representation into more meaningful and informative way so that image could be analyses in an appropriately. For the area of clinical image analysis which is very vital area of human life the segmentation of images importantly needed to process the image. This paper focused on a very effective and useful morphological approach to segment the clinical image based on LoG (Laplacian of Gaussian), gradient of image and watershed approach with distance transform to detect edge of human x-ray images.

Research paper thumbnail of Banijya Bichinta বাণিজ্য বিচিন্তা

Research paper thumbnail of Identification and Segmentation of Medical Images by Using Marker-Controlled Watershed Transformation Algorithm, XAI, and ML

Advances in Systems Analysis, Software Engineering, and High Performance Computing

To make human life easy and compact, XAI has developed a lot with more innovations and contribute... more To make human life easy and compact, XAI has developed a lot with more innovations and contributed its own share. To make a suitable treatment while diagnosed with brain tumour, one needs to classify the tumour and detect it in a proper way where the explained result is most important. With the help of different analysis processes where marker-based approaches can help in proper segmentation and noise reduction analysis, numerous imaging modalities exist for tumour detection that are utilized to identify tumours in the brain. One of the most important issues of XAI system is medical diagnosis through ML in medical image processing. In this chapter, the authors present a modified marker-controlled watershed transformation approach to detect brain tumour with XAI and machine learning approaches. They include CNN and data augmentation algorithms. Image pre-processing takes the main area to detect and diagnose disease and diagnose properly. The statistical measurements have been introdu...

Research paper thumbnail of A Literature Review on Mathematical Morphology Based Image Segmentation Techniques

Recent Progress in Science and Technology Vol. 8, Mar 27, 2023

Research paper thumbnail of Artificial Intelligence-Based Intelligent Human-Computer Interaction

Advances in computer and electrical engineering book series, Mar 3, 2023

Research paper thumbnail of Predictive Analysis of Biomass with Green Mobile Cloud Computing for Environment Sustainability

Green Mobile Cloud Computing, 2022

Research paper thumbnail of Morphological Approaches and Segmentation of Medical Images with Different Watershed Transformations

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

Research paper thumbnail of A Comprehensive Review on Multicriteria Decision Making Concepts and their Applications

Research Highlights in Science and Technology Vol. 1, Apr 22, 2023

Research paper thumbnail of A Review on Forensic Science and Criminal Investigation Through a Deep Learning Framework

Advances in Digital Crime, Forensics, and Cyber Terrorism

Deep learning (DL) is a rising field that is applied in forensic science and criminal investigati... more Deep learning (DL) is a rising field that is applied in forensic science and criminal investigation (FSCI). FSCI specialists are confronting many difficulties because of the volume of of information, little bits of confirmations in the turbulent and complex climate, conventional lab structures, and once in a while, deficient information which might prompt disappointment. The application of DNA sequencing technologies for forensic science is particularly challenging in systems biology. DL is at present supporting practically every one of the unique fields of FSCI with its various methodologies like analysis of data, pattern recognition, image handling, computer vision, data mining, statistical examination, and probabilistic strategies. In this manner, DL is helping forensic specialists and examiners by defining legitimate proof, 3D remaking of crime locations, taking care of proof viably, and dissecting it to arrive at obvious end results at different degrees of investigation and cri...

Research paper thumbnail of Analysis of Student Sentiment Dynamics to Evaluate Teachers Performance in Online Course using Machine Learning

2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)

Research paper thumbnail of Prevalence of Multi-Agent System Consensus in Cloud Computing

Springer Tracts in Human-Centered Computing

Research paper thumbnail of Edge Detection Using the Magnitude of the Gradient

An improved scheme for contour detection with better performance measure has been proposed in thi... more An improved scheme for contour detection with better performance measure has been proposed in this paper. A 9x9 Laplacian and Gaussian (LOG) filter has been proposed. The present study has shown that the gradient images obtained by the 9x9 LOG mask appears to be much clearer with sharp and prominent edges than those obtained through 5x5 LOG filter. The method has been applied to a number of digital images and better performance measure of contour detection has been achieved.

Research paper thumbnail of An image matching method for digital images using morphological approach

Zenodo (CERN European Organization for Nuclear Research), Nov 23, 2013

Image matching methods play a key role in deciding correspondences between two image scenes. This... more Image matching methods play a key role in deciding correspondences between two image scenes. This paper presents a method for the matching of digital images using mathematical morphology. The proposed method has been applied to real life images. The matching process has shown successful and promising results.

Research paper thumbnail of Comparative Study and Analysis of Edge Detection Operators in Marker Controlled Watershed Transformation Algorithm on Various Medical Images

International Journal of Computer Applications

Edge is a basic and important piece of information that can be examined and manipulated by variou... more Edge is a basic and important piece of information that can be examined and manipulated by various edge detection methods. Edge detection is the process used in digital image processing to determine image boundaries and remove unwanted areas from digitised images. Edge detection generally filters out the important and useful information from the whole structural image. In this chapter, edge detection methods and their mathematical implementations have been compared through first-order edge detection operators like Sobel, Canny, Robert, Prewitt, etc. using marker-controlled watershed transformation. In morphological image processing, the edge detection algorithm includes functions such as edge and markercontrolled watershed segmentation. The edge detection techniques are applied to different medical images. Simulation of edge detection techniques has been carried out using MATLAB, and the comparison is made on the basis of statistical measurements.

Research paper thumbnail of A Study on Two-Temperature Generalized Thermoelasticity and Its Applications

Research paper thumbnail of An image matching method for digital images using morphological approach

Zenodo (CERN European Organization for Nuclear Research), Nov 23, 2013

Image matching methods play a key role in deciding correspondences between two image scenes. This... more Image matching methods play a key role in deciding correspondences between two image scenes. This paper presents a method for the matching of digital images using mathematical morphology. The proposed method has been applied to real life images. The matching process has shown successful and promising results.

Research paper thumbnail of Deep Learning

Research paper thumbnail of Concepts and Techniques in Deep Learning Applications in the Field of IoT Systems and Security

Research paper thumbnail of Design a Web Security Testing Mechanism by Using Semantic Comparision Method to Prevent Cross Site Scripting Attacks

NVEO - NATURAL VOLATILES & ESSENTIAL OILS Journal | NVEO, Nov 7, 2021

Research paper thumbnail of A new Approach Of Watershed Algorithm Using Distance Transform Applied To Image Segmentation

A new approach of Watershed Algorithm using Distance Transform is applied to Image Segmentation i... more A new approach of Watershed Algorithm using Distance Transform is applied to Image Segmentation is discussed in this paper. After applying Watershed Algorithm we get an over-segmented image. The watershed algorithm with Laplacian of Gaussian (LoG) edge detector is used to detect the edges of the image and produce an image which is less over-segmented. The proposed algorithm will detect a detailed and an accurate image.

Research paper thumbnail of An Analysis of Watershed Approach with Distance Transform and Laplacian of Gaussian Operator in Regard to Evaluating Medical Images

International Journal of Computer Science and Mobile Computing

The target of doing image segmentation basically to modify and simplification of an image represe... more The target of doing image segmentation basically to modify and simplification of an image representation into more meaningful and informative way so that image could be analyses in an appropriately. For the area of clinical image analysis which is very vital area of human life the segmentation of images importantly needed to process the image. This paper focused on a very effective and useful morphological approach to segment the clinical image based on LoG (Laplacian of Gaussian), gradient of image and watershed approach with distance transform to detect edge of human x-ray images.

Research paper thumbnail of Banijya Bichinta বাণিজ্য বিচিন্তা

Research paper thumbnail of Identification and Segmentation of Medical Images by Using Marker-Controlled Watershed Transformation Algorithm, XAI, and ML

Advances in Systems Analysis, Software Engineering, and High Performance Computing

To make human life easy and compact, XAI has developed a lot with more innovations and contribute... more To make human life easy and compact, XAI has developed a lot with more innovations and contributed its own share. To make a suitable treatment while diagnosed with brain tumour, one needs to classify the tumour and detect it in a proper way where the explained result is most important. With the help of different analysis processes where marker-based approaches can help in proper segmentation and noise reduction analysis, numerous imaging modalities exist for tumour detection that are utilized to identify tumours in the brain. One of the most important issues of XAI system is medical diagnosis through ML in medical image processing. In this chapter, the authors present a modified marker-controlled watershed transformation approach to detect brain tumour with XAI and machine learning approaches. They include CNN and data augmentation algorithms. Image pre-processing takes the main area to detect and diagnose disease and diagnose properly. The statistical measurements have been introdu...

Research paper thumbnail of A Literature Review on Mathematical Morphology Based Image Segmentation Techniques

Recent Progress in Science and Technology Vol. 8, Mar 27, 2023

Research paper thumbnail of Artificial Intelligence-Based Intelligent Human-Computer Interaction

Advances in computer and electrical engineering book series, Mar 3, 2023

Research paper thumbnail of Predictive Analysis of Biomass with Green Mobile Cloud Computing for Environment Sustainability

Green Mobile Cloud Computing, 2022

Research paper thumbnail of Morphological Approaches and Segmentation of Medical Images with Different Watershed Transformations

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

Research paper thumbnail of A Comprehensive Review on Multicriteria Decision Making Concepts and their Applications

Research Highlights in Science and Technology Vol. 1, Apr 22, 2023

Research paper thumbnail of A Review on Forensic Science and Criminal Investigation Through a Deep Learning Framework

Advances in Digital Crime, Forensics, and Cyber Terrorism

Deep learning (DL) is a rising field that is applied in forensic science and criminal investigati... more Deep learning (DL) is a rising field that is applied in forensic science and criminal investigation (FSCI). FSCI specialists are confronting many difficulties because of the volume of of information, little bits of confirmations in the turbulent and complex climate, conventional lab structures, and once in a while, deficient information which might prompt disappointment. The application of DNA sequencing technologies for forensic science is particularly challenging in systems biology. DL is at present supporting practically every one of the unique fields of FSCI with its various methodologies like analysis of data, pattern recognition, image handling, computer vision, data mining, statistical examination, and probabilistic strategies. In this manner, DL is helping forensic specialists and examiners by defining legitimate proof, 3D remaking of crime locations, taking care of proof viably, and dissecting it to arrive at obvious end results at different degrees of investigation and cri...

Research paper thumbnail of Analysis of Student Sentiment Dynamics to Evaluate Teachers Performance in Online Course using Machine Learning

2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)

Research paper thumbnail of Prevalence of Multi-Agent System Consensus in Cloud Computing

Springer Tracts in Human-Centered Computing

Research paper thumbnail of Edge Detection Using the Magnitude of the Gradient

An improved scheme for contour detection with better performance measure has been proposed in thi... more An improved scheme for contour detection with better performance measure has been proposed in this paper. A 9x9 Laplacian and Gaussian (LOG) filter has been proposed. The present study has shown that the gradient images obtained by the 9x9 LOG mask appears to be much clearer with sharp and prominent edges than those obtained through 5x5 LOG filter. The method has been applied to a number of digital images and better performance measure of contour detection has been achieved.