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56 articles for “image typicality”
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Ranking of Image Search by Click-Based Uniformity and Typicality
Abstract: AbstractAccording to the image search re-ranking, apart from the semantic gap and intent gap, which is the gap between the representation of user’s query and the real objective of the users, is forming a major issue in restricting the evolution of image retrieval. In order to reduce human effects, the method use image click-through data, which can be viewed as the implicative feedback from users, to help overcome the intention …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 39–46 Read article
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Amalgamation of Medical Image using Wavelet Theory
Abstract: Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are registered and overlaid or merged to provide additional information. Fused images may be created from multiple images from the same imaging modality, or by combining information from multiple modalities, such as magnetic resonance image (MRI), computed tomography (CT) etc. In radiology and radiation these images serve different purposes. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 1, 2015 · pp. 9–14 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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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Image fusion, compresion and separation and segmentation Technique
Abstract: Image fusion compression Separation and segmentation is very typical task in image processing field In this paper we have done image fusion with help of Principal Component analysis(PCA) and Independent Component analysis(ICA) and compression with Principal Component Analysis (PCA) and Separation with Independent Component analysis (ICA) ,Scatter graphical method and convolution Mixture technique and segmentation with watershed technique and K mean ROI Focus on Different technique of image and signal …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 27–36 Read article
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Hardware Implementation of Discrete /Inverse Discrete Cosine Transform Using Redundant Number System CORDIC Processors
Abstract: Rapid enhancement in multimedia service running on portable application has forced the development of high quality and low power implementation of complex signal processing algorithms. Image and video processing are typical application of multimedia system. Image compression and decompression using DCT/IDCT are the two algorithms commonly used in MPEG standard of image processing. For an image of N x N size, DCT/IDCT would require N4 multiplications and increases complexity. To …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 1, 2021 · pp. 35–42 Read article
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Colour Based Segmentation of a Landsat Image Using K-Means Clustering Algorithm
Abstract: AbstractImage segmentation is one of the typical vintage subjects in image processing and it acts as a bulls-eye of the image processing technique. By definition, image segmentation means identifying the similar regions in the image; or in other words, identifying the homogenous pixels in the image and grouping all these pixels based on the homogeneity condition considered. This homogeneity condition can be like, colour, texture, size, compactness etc. It is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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Clinicoradiological Evaluation of Idiopathic Intracranial Hypertension
Abstract: Idiopathic intracranial hypertension refers to elevated intracranial pressure when there is no detectable space-occupying lesion. Individuals with idiopathic intracranial hypertension commonly exhibit classic indications of increased intracranial pressure, including headaches, nausea, neck discomfort, double vision, temporary visual obscurity, and swelling of the optic nerve head (papilledema). Typical magnetic resonance imaging findings include empty sella, optic nerve tortuousity, globe flattening, and transverse sinus stenosis. All patients from July 2021 to June …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 40–45 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 Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Image Inpainting Techniques Comparative Analysis for the Amputation of Smearing Effects from the Inpaint Image
Abstract: Image inpainting is the process to reconstruct the missing or damaged portions of the image, in order to make it more legible and restore its unity. This can be done by using information from adjoining areas and amalgamate the inpainted area into the image so impeccably that a typical viewer is not aware of it. The eminence of the upshot will depend on what is omitted. If the inpainting region …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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3D Modeling Technique: A Survey
Abstract: This paper presents a stereo image processing techniques for the detection of a depth information from images. Inspite of a remarkable growth in the last few years, the availability of 3D content is still diminutive by that of its 2D portion. To solve this problem, many 2D-to-3D image methods have been proposed. Here, a stereo image processing technique is actually a 3D modeling technique. We analyse two types of methods. …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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AI-Resistant Video CAPTCHA System
Abstract: CAPTCHA, which stands for Completely Automated Public Turing test to tell Computers and Humans Apart, is a tool that separates human users from automated bots. It is commonly used in web applications to stop bulk registrations, spam submissions, credential stuffing, and misuse of online services. Typically, CAPTCHAs involve recognizing distorted text, selecting images, or transcribing audio. These tasks are easy for people but challenging for automated programs. However, recent advances …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Nuclear Medicine: A Boon to Society
Abstract: AbstractNuclear medicine is a rapidly developing branch of medicine which uses radioisotopes for diagnostic imaging and therapy. All nuclear medicine investigations and therapeutic procedures require highly specialized equipment. Nuclear imaging is a method of producing images by detecting radiation from different parts of the body after a radioactive tracer material is administered. The images are digitally generated on a computer and transferred to a nuclear medicine physician, who interprets the …
Published in Journal of Nuclear Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 1–3 Read article
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Brain Tumor Detection Using Image Processing
Abstract: Brain tumor means the aggregation of abnormal cells in some tissues of the brain. Brain tumor can be cancerous or noncancerous. The most common types of brain tumors are Glioma, Meningioma and Pituitary tumor. Early detection of tumor cells is essential in-patient treatment and recovery. A brain tumor is typically diagnosed through a lengthy and complicated process. The MRI images of various patients at various stages can be used for …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 8–14 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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A GAN Based Automatic Image Colourizer
Abstract: A fascinating skill in computer vision under Artificial intelligence is the technique of automatically changing monochrome photos into colour ones without human assistance. When a substantial annotated dataset is not readily accessible, transfer learning is commonly employed as the preferred approach. Typically, this involves utilizing pre-trained models with extensive general knowledge gained from training on ImageNet, which are subsequently fine-tuned to cater to specific tasks. From the utility point of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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Ferromagnetic Resonance in II-VI Diluted Magnetic Semiconductor, ZnxTM1-xO Nanostructures
Abstract: The ferromagnetic resonance in II-VI diluted magnetic semiconductor Zn1 xMnxO was studied theoretically. The model employed to manipulate the Hamiltonian of the system which is the Heisenberg Model. By considering a cloud of electron gas and employing equation of state, the fractions of demagnetization factors was determined. For FMR probes, the sample magnetization results from the magnetic moments of dipolar-coupled but unpaired electrons. The resulting frequency versus magnetization curve is …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 1, 2022 · pp. 1–16 Read article