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147 articles for “image scale”
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Fuzzy Logic in Image Processing: Definition and Scheme
Abstract: Digital image processing is a evergreen developing and energetic location with petition bust out into habitual existence likewise medicinal drug, area evaluation, inspection, support, automatic enterprise inspection and plenty extra zone. The advanced gadget especially makes a specialty of a fuzzy logic structures in an image processing. The most important subject of device is about to illustrate the application of Fuzzy common sense in photograph transforming with a short measure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 29–33 Read article
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The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps
Abstract: By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 36–44 Read article
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Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Development and Performance Evaluation of Efficient Low-Complexity SPIHT Image Coder
Abstract: Wavelet transform is one of the advanced, effective and computationally fast methods for image data as well as video compression. The wavelet based image compression is particularly a nonreversible method that has been growing computationally more complicated as they getting more accurate and reliable. In this work we have developed an image compression technique based on main concepts related to partial ordering of the coefficients of image matrix elements by …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 5–10 Read article
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Feature Extraction to Detect Diabetic Retinopathy and Glaucoma in Fundus Image
Abstract: Visual impairment due to various eye-related diseases can be largely prevented through regular fundus colour image screening. Large scale screening of the retinal image in the early stages is crucial to disease diagnosis. It is reported that the number of ophthalmologist ratios is very low. Hence, the computer-aided screening is required where the diagnosis of disease from an image is done from the main features of the fundus image. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 9–12 Read article
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Remote Sensing Accession from Imagery
Abstract: AbstractRemote sensing (RS) apt scaled from balloon-aided physical camera to multispectral regime after exploring of hyperspectral sensors made of integrated circuits. Device prosecutions to segment-wise deduction has studied to scale point to point explore. Multi-aspect in any consideration explored hyper-linking for any consideration. Band explore by sensors achieves coarse-to-fine adjustments for any investigation. Atmospheric absorption of linking radiant energy has subjected to incorporate additional algorithm to claim actual of actuals …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 5–8p Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Recognition and Classification of Clothing Pattern and Color
Abstract: Choosing clothes with complex patterns and colors is a challenging task for visually impaired and blind people. The automatic clothing pattern and color recognition is also a challenging problem due to the large intra-class variation, rotation, scaling and illumination. Here, we recognize clothing patterns in four categories (plaid, striped, pattern-less, and irregular), and identify 11 clothing colors (red, orange, yellow, green, cyan, blue, purple, pink, black, grey, and white). The …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 2, 2016 · pp. 33–41 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Interactive Projector: Application of MATLAB Embedded JAVA
Abstract: In this paper, the authors have worked on a technique to convert a simple projector into an interactive projector by using a LASER pointer. For this, the authors specially concentrated on transformation, namely projective transformation, for calibration purpose, feature extraction of a color image for locating a pointer and java commands to perform mouse operations. The authors manipulated an interested part of a captured image and matched its coordinates with …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 15–19 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Evaluations of Disturbance and Land Cover Changes in the Chitrakoot Forest Range Madhya Pradesh
Abstract: Evaluation of disturbance and land cover change of forest degradation in the Chitrakoot forest range. Land cover change detection and normalized difference vegetation index analysis was carried out on the three images. Global positioning system and topographical map of scale 1:50,000 for ground verification ERDAS Imagine and ArcGIS Software for satellite image processing and analysis were used for the analysis. The Disturbance and land caver change analysis has been attempted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 1–5 Read article
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A Survey on Various Image De-noising Methods
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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Image Registration–Implementation and Performance Analysis using Log-polar Transformation
Abstract: This paper presents an image registration algorithm for affine motion recovery. The images which are to be registered may be misaligned due to rotation, scale and translation the algorithm presented in the paper estimates affine transformation parameters to register this images. The parameters are computed using a variation of the Levenberg-Marquadt nonlinear least squares optimization method in a coarse-to-fine hierarchical framework. To precisely registers images with subpixel accuracy this method …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 49–55 Read article
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Ameliorated perceptive approach to MSRCR algorithm for image augmentation
Abstract: Retinex theory was developedby Edwin H.Land in the year of 1964.Retinex based image enhancement system improves the quality of image. The dominant assumption of retinex theory is that the image can be decomposed in to two factors, one is Reflectance and the other one is illumination. It increases the human perception of information. The color image enhancement methods are used to increase the contrast of color images. The human visual …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 17–26 Read article
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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 Read article