Search
135 articles for “image detection”
-
Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
Automatic Pit Detection Vehicle
Abstract: Roads make a significant contribution to economic growth, enhancement and bring essential social benefits. There are different types of road in country to fulfill the needs of human access. Roads are damaged due to constantly used by vehicles and environmental factors. Many times, road maintenance is not possible to monitor every place or because of disregard. Due to this, it causes the generation of pits which leads to unwanted traffic, …
Published in International Journal of Broadband Cellular Communication · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
-
Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
-
A Report on Object Detection and Caption Generator
Abstract: Image Caption Generator is a application that generates captions for images. The image's semantic information is recorded and transformed into plain language. The capture mechanism is a timeconsuming effort that combines picture processing and computer vision. The mechanism must be capable of detecting and establishing links between items, humans, and animals. The goal of this article is to use deep learning to detect, recognize, and generate meaningful captions for a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 13–36 Read article
-
Hamming Coded Watermarking for Image Authentication and Evaluation by Image Transmission using Digital Modulation Schemes
Abstract: Proposed watermarking scheme for image authentication and tampered detection. Here, image encoded with a message is generated, after embedding watermark symbol within a colour cover image. The message information is converted to hexadecimal values from its ASCII representation. To encode this and embed the watermark, (7, 4) Hamming code is used. These bits will be divided into 7-bit blocks which will spread across the width of the image. The proposed …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 24–30 Read article
-
Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
-
Image Processing Based Robot Control
Abstract: We all know that object detection is a well-researched technology and is related to computer vision and image processing deals with detecting instances of semantic objects. It has got some real-world applications such as smart-home automation, etc. Detection of a particular object by the computer’s camera is an important aspect. Recent image-controlled robots operate with humans next to them. Whereas, our project deals with interface of robots through image-controlled technique, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 4–13 Read article
-
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
-
Region-based Object Detection and Classification using Faster R-CNN
Abstract: With the advent of Deep Learning the machine learning systems are able to recognize and classify objects of interest in an image. Various advancement has been done in the field of object recognition and classification. Our research work focusses on improving the R-CNN, Fast R-CNN, YOLO architecture. The work focused on using Region Proposals Network (RPN) to extract region of interest in an image. RPN outputs an image based on …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 22–30 Read article
-
Monitoring Urban Sprawl and Land-Use Change Detection with GIS and Remote Sensing Techniques in Latifabad Town Hyderabad, Pakistan
Abstract: Constant rapid urbanization is associated with the reduction of natural resources and the expansion of irregular and uncontrolled expansion, rapidly increased population, and increasing immigrants towards urban areas. In this paper, land-use change is considered the main component in monitoring urban growth. In the context of land-use change, the study analyzes the gap of sustain infrastructure; led towards the conversion of residential areas into commercial areas and subdivisions of various …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 2, 2021 · pp. 41–51 Read article
-
Beyond the Classroom: Harnessing the Power of Android for Early Childhood Education Development
Abstract: The point of this inquiry is to address, like, you know, the issue of more prosocial behavior in children, both at domestic and in open spaces. This was distinguished through, like, perceptions and interviews with guardians, who, you know, accept that the need of their interest in their children’s prosocial improvement is, like, due to their restricted understanding. To progress, like, early childhood prosocial behavior, we created an Android-based Early …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 22–29 Read article
-
Adaptive Visual Tracking for Human Motion Detection
Abstract: Abstract—Object detection is one of the fundamental steps for automated video analysis in many vision applications. Object detection in video is usually performed by background subtraction techniques. In the existing method they proposed object detection by pixel variation of the image from one frame to another and the background subtracted by the training process in the recorded videos. In the proposed method the object is detected in the live video …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
-
Object Detection using Machine Learning: A Survey
Abstract: ABSTRACTComputer vision techniques have become increasingly popular in the modern era. One of the applications of computer vision is in the detection of object in an image or video. In object detection a target object is detected, localized and labelled based on the type of object. Real time detection of objects in harsh environments, accuracy and speed are some of the major challenges in computer vision technology. A variety of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 7–11 Read article
-
Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
-
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
-
Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
-
Innovative Approach for Sugarcane Plantation
Abstract: Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 7–12 Read article
-
Sign Language Assistant Using Raspberry Pi
Abstract: Sign language communication has been the significant way of communication concerning dumb, deaf and blind people. Therefore, Sign Language Assistant can be used as a bridge between normal people and disabled people to create an invisible path of understanding. The soul of the system is a Raspberry Pi controller which comes with an in-build OS to help it perform operations without any time lag. The Camera is interfaced to a …
Published in International Journal of Microwave Engineering and Technology · Vol. 6, Issue 2, 2020 · pp. 26–32 Read article
-
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
-
Speed Checker for Highways
Abstract: This article has descriptive issued speed check policy for highways. Estimating velocity of moving vehicle has adoptive issued usual vehicle speed detection by usage of image/video process etiquette, where speed has conclusive, as of, usage time taken between frame/corner detection i.e., object traversed abide by frame specific issue. Henceforth, output has rated by frame mask ethic to finally secure usual differentiation beyond one issue i.e., act out of one and …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 2, 2021 · pp. 11–16 Read article