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135 articles for “image detection”
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Construction of Interval-Valued Fuzzy Relations Using R-P-B Methodology: A Survey on Edge Detection of Images
Abstract: Edge detection is a very crucial part of image processing and computer vision. Edge detection of images has become a serious challenge to the research personnel. In this paper, an emerging edge detection methodology which computes edges of different images using the technique of combination of Rothwell-Prewitt-Bergholm (R-P-B) operators is presented. Here, the edge detection of images using R-P-B Methodology is compared with each operator separately. Keywords: Edge detection, image …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 11–16 Read article
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Edge Detection of Images: An Analysis Using B-S-P Technique
Abstract: Abstract Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Sobel-Prewitt edge …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 21–26 Read article
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Intelligent Gear Inspection: Defect Detection through Digital Image Processing Algorithms
Abstract: A significant contributor to poor reliability and a source of humiliation for businesses are gear problems. The majority of the inspection procedures used in these businesses are laborious and manually. More thorough and accurate inspection procedures are needed to improve accuracy in finding gear problems. The present work fills this gap by implementing a Gear Defect Recognizer that uses local thresholding in conjunction with computer vision methodology to spot potential …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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A Survey on Edge Detection of Images Using MPL Approach
Abstract: Abstract Edges of an image can be represented by implementing several edge detectors with different techniques. Edge detection is a fundamental and very crucial part in image processing. In this paper, an improved edge detection technique which computes edges of several images using the quantitative combination of Mathematical Morphology-Prewitt-LOG (MPL) edge detectors is presented. This methodology can be used as template for multi-scale edge detectors for a very wide range …
Published in International Journal of Software Computing and Testing · Vol. 1, Issue 1, 2015 · pp. 14–20 Read article
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Edge Detection of Images: An Application of C-R Methodology
Abstract: In this paper, a novel edge detection technique which computes edges of different images using the concept of Center of Mass (COM) with Robert Edge Detector (COM-ROBERT) methodology is presented. The proposed method can be used as framework for multi-scale edge detectors for different images in image processing. Here the edge detection by COM with Robert edge detector methodology is compared with simply COM methodology. Keywords: Edge detection, center of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Application of COM-LOG Technique for Edge Detection of Images: An Emerging Methodology
Abstract: In this paper, an emerging edge detection method for computing the edges of several images using the concept of Center of Mass (COM) with Laplacian of Gaussian (LOG) Operator is presented. This method can be used as framework for multi-scale edge detectors for several images in image processing. Multi-scale edge detector needs to compute gradient on different scales. Here the edge detection by COM technique with LOG operator is compared …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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An Improved Approach for Edge Detection of Noisy Images
Abstract: Edge detection of images is a very serious challenge to the researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, an innovative edge detection methodology is presented, that computes the edges of different images using the combination of Bergholm-Rothwell-Sobel-Prewitt edge detectors …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 7–13 Read article
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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Edge Detection of Image: A Programmatic Combination of M-B-P Operators
Abstract: Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Morphological-Bergholm-Prewitt (M-B-P) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 13–20 Read article
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A Sequence Structure for Image Change Detection Using Sensor Network
Abstract: Abstract Change detection in pictures is of nice interest due to its connectedness in several applications like video police work. This article work presents the underlying theoretical drawback of distributed image amendment detection employing a wireless detector network. The planned system consisted of multiple image sensors, which created native choices severally associate degreed send them to a foundation station through an additive white Gaussian noise channel. The bottom station then …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 1–5 Read article
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Improved Approaches of Image Forgery Detection using SURF and 4-level DWT
Abstract: ABSTRACT Today, there are various types of image tampering techniques, and copy-move forgery is one of them in which a piece of the picture is copied and pasted on another part of a picture. The study reviewed the several methods proposed to achieve this goal. This method generally uses both the feature point-based and the block-based algorithm. We use DWT (discrete wavelet transforms) for the decomposition of an image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel Approach
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article
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Advanced Security System for Residential Complexes
Abstract: A sophisticated apartment safety system aimed at preventing unauthorized access and enhancing security within residential complexes. The system employs facial recognition technology to identify residents and regular visitors while capturing the pictures and data of unknown individuals upon entry. These individuals are provided with an RFID tag, enabling continuous tracking of their movement within the premises until they reach their intended destination so that we can monitor the person and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Comparison of Various Methodologies used for Automating Plant Disease Detection using Image Processing
Abstract: In India, major of economy and development depends on agriculture, so plant disease detection becomeimportant for us so that if any crop is destroyed due to diseases is known to us prior and we can overcomethe loss of crops due to plant diseases. It is better to catch the disease in the initial phase so that the largescaledamage of crops can be prevented. Traditionally, the diseases incurred via the naked …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 20–23 Read article
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Skin Disease Detection Using Image Processing
Abstract: Skin issues incorporate a wide extent of indications and seriousness. They can be pleasant or unsavoury, and they can be momentary or constant. The skin is the human body's largest organ. Between 30 and 70% of people are influenced by the skin related issues. Skin-related health issues affect people all over the world, necessitating quick and effective resolution. As of late, computeraided demonstrative (CAD) innovations have been used to effectively …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 1–7 Read article
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Vehicle Detection Using Image Processing
Abstract: Vehicle discovery and arrangement of vehicles assume a significant job in dynamic with the end goal of traffic-control and the executives. Right now propose a novel and productive calculation dependent on picture preparing utilizing aeronautical cameras for vehicle recognition and order-particularly in parkways. The calculation is basically founded on an arrangement of Edge-base techniques applied on a picture taken by sensing device of a street fragment. Calculation additionally utilizes thresholding, …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 33–38 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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An Experimental Analysis Using P-S-M Approach for Edge Detection of Color Images
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Prewitt-Sobel-Morphological (PSM) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 18–23 Read article