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275 articles for “digital image”
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A Survey of Multiwavelet Filtering Based Denoising Techniques for Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. We have presented a survey of the popular denoising techniques used in the literature to achieve the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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Retina Recognition System Using Wavelet based Neural Network Algorithm
Abstract: This paper presents an approach of wavelet feature-based retina recognition system using back-propagation learning neural network algorithm. After acquiring the retinal image, at first vessels were segmented from the image. Then the feature extraction was carried out by analyzing the segmented retinal image using multiresolution analysis through the wavelet-based approach. Then extracted features were fed to the back-propagation learning neural network algorithm to create the learned template which was used …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 35–39 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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Simulation of Image Processing using Linux Operating Systems
Abstract: AbstractImage processing and restoration through a base image can provide useful information about the scene, such as saliency and depth map. We first apply the geometric transformation algorithm for restoration of the blurred image. As suggested in the base paper that the geometric analysis will provide us the fine feature available in the image, we have utilized this algorithm for the purpose of image restoration. Measuring the amount of blur …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 3, 2020 · pp. 16–22 Read article
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Study of the Trends and Customer Buying Behaviour in The Automobile (Car) Industry
Abstract: This study examines car buying behavior in India, one of the largest automotive markets globally, contributing significantly to the Gross Domestic Product (GDP). Understanding how consumers decide on car purchases is essential for manufacturers and marketers. The research involved a comprehensive methodology, including a literature review, questionnaire design, survey distribution, and data analysis, to gain insights into Indian car buyers' preferences and trends. The findings reveal that young adults, primarily …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 9–18 Read article
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Securing CFA Images through the Simultaneous Hybrid Encryption-Watermarking Method Using Quaternions
Abstract: In order to protect digital data against unauthorized copying, falsification and redistribution over the internet, we proposed a new hybrid method of simultaneous encryption-watermarking of CFA (Color Filter Array) images. The CFA images are important for image analysis because these raw images have not undergone any process (interpolation, demosaicking, etc.) that might alter their reliability. This article presents a study of a new technique for the secure transfer of CFA …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 17–28 Read article
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DTM Generation and Avalanche Hazard Mapping using Large Format Digital Photogrammetric Data and Geomatics Technique
Abstract: The main objective of the study is Digital Terrain Model (DTM) generation from aerial photogrammetric data and identify and map the potential avalanche prone zones in Manali region. Avalanche is a dynamic hazardous phenomenon in the snow-bound mountainous terrain. Mapping of avalanche prone terrain is crucial to minimize the avalanche hazard. Nowadays, airborne data capturing technology, such as large-format Photogrammetry, has opened new vistas for the mapping of complex and …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 4–13 Read article
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Survey Paper of Image Forensics based on Tampering Detection using Feature Extraction Technique
Abstract: AbstractThe digital images (DI) are becoming vital components in the field of statistics forensics and protection. Because of the popularity of picture enhancing tools, DI may be altered. Therefore, it is ought to create forensic strategies that are able to detect tampering in pictures. Image forensic (IF) is a vital part of many investigations. The numerous low-cost effective digital tools have enabled easy picture creation, change and distribution, which make …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 33–42 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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Video Watermark for Text Data Using QR Code
Abstract: In the current era, data security is most important and so is copyright protection. By using this project, the user can secure his data, logo etc. We are incorporating a digital video watermark into QR Codes for text data. This technique is used for data hiding into video. This technique can be classified as either spatial or frequency domain. Some video watermarking issues are addressed in video watermarking. This project …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 28–34 Read article
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WBC DIAGNOSER
Abstract: Today's society frequently uses a complete blood count (CBC) blood test to look for infections,allergies, blood clotting issues, anemia, and leukemia. A microscope is used to look for problems in theblood sample after a physical examination to count the number of blood cells. Yet, because of thelength of time involved, there is a possibility that someone will make a mistake. A white blood cell(WBC) count can give clinicians crucial information …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 1–8 Read article
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Identifying a Unique Color Using Image Processing
Abstract: This work describes a method for detecting colors in a three-dimensional image utilizing a color threshold-holding technique implemented in Python and to detect user selected color in an image RGB color module is used. Conversion of three-dimensional RGB picture format to BGR image format is one of the methods used to identify color in data. Since we are using Python, it should be converted to BGR image format. Detecting connected …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 17–22 Read article
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Analysis of Image Watermarking Techniques against Various Noise Attacks for Medical Images using Genetic Algorithm (GA)
Abstract: In this paper, we have presented a dual secure digital image watermarking algorithm based on discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition (SVD) using genetic algorithm (GA) for medical images. The natural image is chosen as cover image and is decomposed up to three levels using discrete wavelet transform. The medical image is chosen as a watermark. The genetic algorithm is used to embed and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 36–44 Read article
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Image Retrieval by Matching Sketches and Images
Abstract: The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problemis the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may referto colors, shapes, textures or any other information that can be derived from the image itself. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 18–22 Read article
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A Comparative Study of Statistical Features for Satellite Images with Natural Images
Abstract: While satellite imaging involves several bands that capture the geographical features, the natural images taken from camera in real world uses RGB model, which is composed of three channels, where each image can store discrete pixels with conventional brightness intensities between 0 and 255. So, the uniqueness of the two imaging techniques is reflected in its bits of every pixel. It is well known that the whole information of an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 59–66 Read article
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Text Recognition System: A Review
Abstract: Text recognition is a crucial problem in the meticulousness of digital image processing since so many historical documents now in existence are in the form of paper records. Similar textbook recognition systems are primarily concerned with transubstantiating textual records from physical copies to records that are familiar to the system, making it simpler to retain them in databases or other real-world settings. This work illustrates how image-processing technologies may be …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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Survey Paper on Image Defogging Using Various Techniques
Abstract: Because of the adverse climate conditions like the nearness fog or heavy rain, digital images are effectively subjected to a wide assortment of disturbance amid acquisition, which may decrease visual impact and influence post-handling of the image. Images corrupted by mist fog adversely the nature of vision-based physical security framework. Writing review is an imperative for comprehension and increasing significantly more learning about the particular zone of a subject. The …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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A Survey of Edge Detection and Object Segmentation from Contour based Soft Computing Approaches
Abstract: Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging field with the wide applications in edge detection and image segmentation. Such a process of partitioning the pixels regions of the digital images with boundary between two homogenous regions refers to the detection of edges. There was various approaches that have been implemented to achieve the same but their performance and its scope of …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 16–20 Read article