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281 articles for “computer vision”
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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Image Retrieval by Matching Sketches and Images
Abstract: The proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problemis the problem of searching for digital images in the large database. Content based means; the search will analyze the contents of the images. The term ‘content’ may referto colors, shapes, textures or any other information that can be derived from the image itself. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 18–22 Read article
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An Analysis on Gender Classification using Face Images Using DWT, (2D)2PCA and SVM
Abstract: AbstractClassifying gender compared to others and is used in this work. Biometry is the use of physical characteristics like face, fingerprints, iris, etc. of an individual for personal identification. Some of the difficult issues of face biometrics are face detection, face recognition, and face identification. These problems are being researched by the computer vision community for the last few decades. Considering the big population, the authentication process of an individual …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 30–40 Read article
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Study and Analysis ofMATLAB-based Face Masks Recognition System
Abstract: Due to the corona epidemic, numerous kinds of face covers are being utilized. Use in face covers is the solitary material that mirrors the nature of the veil. The objective of the present study is creating an auto face recognition system through face mask recognition system through MATLAB to protect people from the corona epidemic. As the human face mask is a dynamic object having a high degree of variability …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 20–24 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Facial Expression Recognition Using Convolutional Neural Network
Abstract: The recognition of facial expression is a key step in nonverbal human communication in the field of computer vision. The Facial Expression Recognition (FER) system reflects emotions as well as mental activities, social interaction with people and expressing positive or negative attitude in general. It has many applications like human machine interaction, understanding human behavior and emotions, mental state identification, drowsiness detection for driving safety and health care. One of …
Published in Journal of Open Source Developments · Vol. 6, Issue 1, 2019 · pp. 18–27 Read article
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Physiotherapy using Pose Estimation
Abstract: Physiotherapy is a kind of treatment that revolves around the science of movement and aids people by reinstating, rehabilitating, and maximising their physical strength, function, movement, and overall well-being by addressing the underlying issues. Physical therapy management commonly includes prescription or assistance in performing exercises. Physiotherapists work with their patients by preparing fitness programs, developing dietary, and various other lifestyle changes to help their patients recover and prevent the loss …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 1, 2021 · pp. 15–21 Read article
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Future of Artificial Intelligence
Abstract: Artificial intelligence is the science and engineering of making smart machines, aiming to provide machines with the ability to think achieve and overcome human intelligence. In his study, we begin with an introduction to the general field of artificial intelligence, then move on to the birth, history and rise of artificial intelligence. We then explore the main trends on the ground, as well as the advancement, evolution and its applications …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 31–33 Read article
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Human Drone Natural Interaction
Abstract: The necessity for user-friendly and intuitive control systems has been brought to light by the growing use of drones in a variety of businesses and by the general public. However, existing drone piloting techniques frequently need intricate manual manoeuvres and technical know-how, creating difficulties for novice and inexperienced pilots. The main goal of this effort is to create a ground control unit (GCU) that, instead of using a traditional radio …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 10–20 Read article
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Application of AI Driven Robots and Their Future Direction
Abstract: AI-driven robots have found applications in various domains, including manufacturing, healthcare, logistics, agriculture, and more. Robots with computer vision and machine learning skills are improving accuracy, productivity, and quality control in manufacturing. In healthcare, robotic surgery and patient care assistance are becoming increasingly common. Logistics and warehousing benefit from AI-driven robots for tasks such as autonomous navigation and inventory management. Within the field of agriculture, robots find application in activities …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 1–10 Read article
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Object’s Area Measurement using Image Processing
Abstract: Object measurement holds substantial significance across a wide spectrum of domains, spanning from quality control in manufacturing to applications in healthcare and environmental monitoring. In this study, a method is suggested to detect the object and calculate the area of the given object in real time using MATLAB. Also, comparing the result obtained with the known area and seeing how accurate the area calculated is. The proposed method for detecting …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 34–41 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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Face Mask Detection in Real Time using OpenCV and Python
Abstract: COVID-19 has brought the entire world to a halt. Doctors, healthcare workers, and many other services were fighting this pandemic on the front lines. Wearing a face mask in public places is more effective, according to the World Health Organization (WHO). According to the reports, wearing the masks while working clearly shows that it reduces the risk of transmission. We will be using the dataset to build a face mask …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 23–29 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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Fake User Identification and Duplication Detection Using Aadhaar Card
Abstract: Various universities are facing several issues concerning students' fake enrollment, duplication, and authentication of student details. Here we are providing solutions to improve student enrollment process for various exams by using convolutional neural networks (CNN) and OpenCV (Open-Source Computer Vision Library). A solution to the existing system must be versatile and precise. If the project aims to be used for large-scale deployments, then it must be adaptable and accurate in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 13–19 Read article
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Cyber Security Implementation Through Deep Learning Based Fraudulent URL Detection
Abstract: A malicious URL, sometimes known as Spam, malicious ads, and drive-by vulnerabilities may all be found on a site that is malevolent. To find rogue URLs, you need to be quick. Researchers previously used blacklisting, regular expression searching and signature matching in their investigations. These strategies are worthless for discovering new malicious URLs or updated versions of previously problematic URLs. A machine learning-based approach may be developed to overcome this …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 35–42 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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A Novel Decomposable Pixel Component Analysis Algorithm for Automating Multispectral Satellite Image Denoising
Abstract: In comparison with the standard RGB or gray-scale images the usual multispectral images (MSI) is intended to convey high definition and an authentic representation for real world scenes to significantly enhance the performance measures of several other tasks involving with computer vision, segmentation of image, object extraction and object tagging operations. However, in practices a MSI image is always prone to corruption by various sources of noises while procuring the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 18–25 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Segmentation Methods for Images: A Systematic Review
Abstract: Image segmentation is the initial operation in image processing and computer vision to extract a region of interest from a still image or a sequence of images (video). Segmentation is the key operation to perform a number of applications today. Different supervised and unsupervised evaluation methods have been used for segmentation for numerous applications, but still it is a challenging task to identify which method is more accurate. This paper …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 61–67 Read article