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1936 articles for “2.5D range image” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Data Embedding Technique for Palette Scale Image using Derived Genetic Algorithm (DEP-DGA)
Abstract: Steganography method is used for exchanging the hidden information. It is defined as the study of hidden communication that deals with the existence of communicated messages. The existing methodology for minimizing additive distortion in steganography fails in measuring the level of distortion for the given source palette digital image. Perfect sphere shaped palette digital images are not suitable for selection, as cover models because the hidden data might be easily …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 1–10 Read article
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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A Review on Breast Cancer Diagnosis in Mammography Images Using Deep Learning Techniques
Abstract: The Breast Cancer is second of the dangerous type diseases that is very effective for women in the world. Breast Cancer is spread very fast in last stage. It’s not give a more time for patients for treatment. We need accurate and efficient diagnosis system over a short period of time that can processed a large amount of data in a short time. It’s only possible using deep learning techniques. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 51–57 Read article
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Different Image Processing Techniques to Detect Text from Natural Images: A Survey
Abstract: Texture analysis can provide very useful and vital information for content-based image analysis. Text recognition and analysis includes many applications such as: license plate recognition, sign detection as well translation, helping tourists and blind persons to understanding environment, drawing attention of a driver, content-based image search and so on. Locating text in case of variation in style, colour, as well as complex image background makes text reading from images more …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 1–5 Read article
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Understanding Text to Image Generation Techniques
Abstract: In recent years, Generative Adversarial Networks (GANs) have been successful in generating realistic looking detailed images and has applications in data augmentation, astronomy, photo editing. This survey gives a brief introduction and review’s recent improvement in Generative Adversarial Networks (GAN’s) to generate images from their text descriptions. We present their effectiveness, their improvement and further scope of research and discussion on this topic. Introduction: text to image generation is the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 1, 2020 · pp. 18–24 Read article
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Optimization of Artifact Free Image Upscaling Using Genetic Algorithm
Abstract: Creating an upscaled image from a low-resolution (LR) image to high resolution (HR) is very interesting. The nature and texture of an image should be maintained during upscaling of an image. This upscaling is also termed as “super-resolution”. It is related to both, statistical relationships between low-resolution and high-resolution. Several methods have been proposed to obtain better results, involving simple heuristics, edge modeling or statistical learning. The most powerful ones, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 21–29 Read article
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A Gui Model for the Encryption and Decryption of an Image
Abstract: Digital watermarking is the processing of combined information into a digital signal. A watermark is a secondary image, which is overlaid on the host image, and provides a means of protecting the image. It acts as a digital signature, giving the image a sense of ownership or authenticity. Digital watermarking technique is very impressive for image authentication or protection for attacks. This paper proposes a separable reversible data hiding in …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 3, 2015 · pp. 47–54 Read article
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Design and Implementation of Improved Image Compression Algorithm using Hybrid Approach of DWT, DCT and SVD
Abstract: In today’s digital world, the latest technology is being developed in field of communication, network, digital data storage, etc. Use of internet is increased rapidly in world of business and profession. A study conducted by research says that 1.1 billion people have regular web access and use application like electronic mail, instant messaging, social networking, online messaging etc. which, helps in growth and knowledge sharing in different domains such as …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF TROPICAL FOREST USING SPOT 5 IMAGERY
Abstract: The faster development of spatial technology, the more options in material for image analysis and this characteristic also leads to a huge diversity of image features. Aiming at investigating the optimal feature space for classification with emphasis on efficiency in less time-consuming, image objects separability, certain numbers of approaches ranging from graphical to statistical methods involving class separation distances have been used for classification related to Object-based Image Analysis (OBIA). …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 41–49 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Asymmetrical Light Propagation in 2D Photonic Crystal Structure
Abstract: In this work, using Plane Wave Expansion (PWE) and two-dimensional Finite Difference Time Domain (2D-FDTD) methods, we design a structure that shows the high asymmetry in propagation of light. Structure is based on two-dimensional Photonic Crystal (2D-PC) consisting of square lattice (39 X 39) of infinitely long circular rods of refractive index 2.9 in the background of refractive index 1. Radius of rods is 0.15a, where a is the lattice …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 69–74 Read article
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Enhancing Image Classification Performance with Deep Neural Networks
Abstract: Classifying images is useful in many domains, including the study of plant diseases and the analysis of human expressions. Image categorization employing the idea of a “deep neural network” helps to compact otherwise cumbersome photos. It is possible to classify images by using the idea of a “deep neural network”. Self-driving cars, medical diagnosis, automatic translation, etc., all make use of Deep Neural Networks. Recently, excellent results have been achieved …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 13–23 Read article
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Verilog-Based Image Processing on Field Programmable Gate Arrays: Design and Implementation
Abstract: Integrated circuits known as Field Programmable Gate Arrays (FPGAs) are frequently offered for sale off the shelf. They are known as "field programmable" because, following manufacture, they enable users to modify the hardware to satisfy particular use case needs. This makes it possible to update features and correct bugs in-place, which is very helpful for remote deployments. Configurable logic blocks (CLBs) and a series of programmable interconnects are features of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 13–26 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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AUTOMATED PRINTED CIRCUIT BOARD (PCB) DEFECT DETECTION USING DIGITAL IMAGE PROCESSING TECHNIQUE
Abstract: This work presents a Digital Image Processing (DIP) solution involving the use of image filters and processing functions to analyse the reference and the test images of a Printed Circuit Board (PCB) to yield a resulting image in which open and short circuits have been highlighted. The problem solved was the dependence of other PCB defects detection methods on the absence of deformation in the test image and this was …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 1, 2019 · pp. 1–11 Read article
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Preference assessment of energy and momentum equations over 2D-SKM method in compound channels
Abstract: Gradually varied flow in channels could be assessed and investigated from both the energy and momentum equations standpoints. Depending on what method is implemented, the computational results could be different. Currently, there is an ambiguity on the preference of utilizing the energy and momentum equations standpoints. This study attempts to respond to this ambiguity and the question that among these pair viewpoints which one would provide a closer solution to …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 24–34 Read article
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Secure Image Backup System
Abstract: The primary reason for developing a backup system is to save files that are important. This is done so that in case if system crashes due to any reason such as hard drive failure or natural calamities, the files can be retrieved later easily. Security is one of the essential/crucial factors when it comes to data, as this data might contain confidential as well as important information. Hence, the backup …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 1–6 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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Brief Review of Medical Image Fusion Techniques Based on Hybrid Intelligence
Abstract: An image fusion combines complementary images from multiple images such that the fused image is more suitable for further processing tasks or specific application. The goal of image fusion is to integrate complementary multi sensor, multi temporal and/or multi view data into a new image containing more information for proper medical diagnosis and different application tasks. The purpose of this paper is a survey of image fusion algorithms based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 8–15 Read article
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Image Super Resolution Using Back-Projection based on Canny Edge Detection and Gabor Filter Prior
Abstract: In recent years, due to the advancement of mixed media instrumentation and machine gadgets, single-image super resolution has currently been converted into a thought subject. Super-resolution is the procedure of improving a high-resolution image from varied low-resolution pictures of a similar scene. The key goal of super-resolution imaging is to reproduce a higher-resolution image focused around a group of pictures, procured from a similar scene and indicated as “low-resolution” pictures, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 48–56 Read article