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155 articles for “Image processing”
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Image Segmentation
Abstract: In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 55–56 Read article
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Review on Sign Language Detection Using Action Detection
Abstract: The development of sign language as a means of communication for those with hearing loss has been a significant step. Sign language is always needed for communication as not everyone understands how to translate signs. Without an interpreter, it is challenging to communicate. The hand shape, motion profile, and positioning of the hand, face, and other body components vary amongst signs in a particular sign language. Therefore, visual sign language …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 20–26 Read article
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Image Denoising by Sigma Estimation based Convolution Neural Network
Abstract: Abstract Image denoising process gains more attention due to its effective denoising performance. This paper proposed the convolution feedforward network with sigma estimation and without sigma estimation to provide the prior information to the CNN and without sigma, it does not come to CNN. The outcomes with CNN and without CNN use image denoising and reduce the MSE and enhance the PSNR. Keywords: Image Denoising, Deep Learning, Convolution Neural Network …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 18–26 Read article
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Towards Inclusive Communication: Reviewing CNN Models for Hindi Varnamala Sign Language Recognition
Abstract: Dealing with an individual who has hearing impairments is never easy. This research represents an effort (extension) to investigate the challenges associated with character categorization in Indian Sign Language (ISL).It is necessary for two people to know and comprehend the same language to create communication. However, sign language is necessary for communication for those who have hearing impairments. The gestures used by the deaf and dumb people are easy for …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 16–21 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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An Exclusive Review on Content-Based Retrieval System
Abstract: The certain development in the ground of computer science engineering has carried a important rise of loading great quantity info (images) laterally with rise in dissimilar kinds of difficulty features. Thus the essential for effectual storing and reclamation of imageries has occasioned in procedure of having very great assembly of imageries from frequent fields like medicine, journalism, education, entertainment, advertisement, e-commerce etc. As extracting images from such large information base …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 2, Issue 1, 2016 · pp. 20–24 Read article
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Performance Comparison of Retinal Image Enhancement Techniques using Wavelet Transforms
Abstract: Retinal picture getting ready is indispensable in the medical field. Retinal overseeing and picture update are crucial here. At the first stage, Discrete Wavelet Transform (DWT) is used to enhance the image. Here, each sub band is processed differently to enhance the image. Since the issues in retinal image are dazzling and complicated to revive, we can execute the picture of solid retinal image for improvement estimation through a twofold …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 1–7 Read article
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Recognition of Vehicle Number Plate Using Mathematical Morphology and Neural Networks
Abstract: This paper presents a method for recognition of the vehicle number plate from the image using neural networks and mathematical morphology. The main theme is to use different morphological operations in such a way so that the number plate of the vehicle can be extracted efficiently. The technique makes the extraction of the plate independent of color, location and size of number plate. The proposed approach can be divided into …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–4 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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The essence of Nanotechnology; Nanoparticles and cutting edge applications in Molecular electronics and Molecular medicine
Abstract: In this paper, the essence of nanotechnology is presented. Nanotechnology is emerged as a fabrication method, computational tools, and revolutionized electronics and medicine. The bio-chemo-physical properties are understood in different dimension with emphasis on various synthesis techniques and size dependent physio-chemical properties. Most properties resulting from size reduction from macro scale to nanoscale and molecular interactions with nanoparticles significantly contributes to its multi function. A systematic illustration of nanotechnology at …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 Read article
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Underwater Image Enhancement and Edge Detection
Abstract: A hybrid image enhancement and edge detection algorithm for underwater images is proposed in this paper. The proposed enhancement algorithm augments the image quality and suppresses noise in underwater images. The novel edge detection process is centered on the pixel phase information present in images, thereby leading to edge pixels that are illumination invariant. Since, illumination influences a major portion of information in underwater images, subjective analysis of the proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 11–21 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Sign Language Alphabet Detection System
Abstract: Currently, gesture recognition for hands and sign language detection for human-computer interaction isthe main emphasis of computer vision and machine learning. The creation of systems that can identifygestures and use them to transmit data or control devices is one of the main goals. Specifically, handgestures entail dynamic hand movements that require explanations in both the spatial and temporaldomains, whereas hand postures reflect the static structure of the hand. The goal …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 29–35 Read article
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STEGANALYSIS OF LSB INSERTION METHOD IN UNCOMMPRESSED IMAGES USING MATLAB
Abstract: In this paper we have explained steganalytic tool to detect presence of the hidden message in LSB steganography. It is the process of hiding secret information in cover image. Here we have used the LSB insertion method using discrete algorithms. Steganographic programs use Least Significant Bit (LSB) embedding as method of choice for message hiding 24-bit, 8-bit color images and grayscale images. It is commonly understood that changes to LSB …
Published in International Journal of Digital Communication and Analog Signals · Vol. 3, Issue 1, 2017 · pp. 1–6 Read article
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Blood Cell Subtype Classification Using Deep Learning
Abstract: A vital component of human bodies is blood. Despite making up only 1% of the human body, blood cells have a greater impact on disease and infection detection. These blood cell subtype classifications also aid in ensuring that patients receive the quickest-acting medical treatment and recover swiftly. To get the findings, many machine learning techniques are used, including the Feature Extraction methods (K* classifier and Decision table) and the Image …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 37–45 Read article
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Implementation of Close Range Photogrammetry to Evaluate Distresses at Asphalt Pavement Surface
Abstract: Roadway pavements surface deteriorate with time because of traffic loading, environment conditions, and poor pavement maintenance management. The aim of this research is to implement close range photogrammetry technique for evaluation of the pavement surface distresses. The assessment was based on comparison with the traditional visual inspection method and validation of its equivalency with visual evaluation. The asphalt concrete pavement surface distresses such as (cracking type and crack width, patching …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 1, Issue 1, 2015 · pp. 1–14 Read article
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Multi-Modal Summarization for Digital Data
Abstract: ABSTRACTText summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 28–34 Read article