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135 articles for “image detection”
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Microscopic Avengers: The Rise of Nanorobots in Biomedical Engineering
Abstract: Nanorobotics is an emerging field at the intersection of nanotechnology and robotics, offeringa promising new frontier in biomedical engineering. Nanorobots, at the scale of a fewhundred nanometres, are designed to perform a variety of tasks within the human body,ranging from targeted drug delivery to precise surgical procedures. This article explores theevolution, design, functionality, and applications of nanorobots in biomedical engineering,highlighting their potential to revolutionize healthcare.The evolution of nanorobots has seen …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 9, Issue 2, 2023 · pp. 10–15 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Need of Face-Mask Detector Model to Tackle COVID-19 Situation in India
Abstract: The COVID - 19 epidemic is affecting everyone whether rich or poor, strong or weak. The use of a mask can surely aid in the control of the spread of the virus. This becomes even more important for a country like India where the total population is above 135+ crores and due to lockdowns and various other reasons, a huge percentage of the population has dipped below the poverty line …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 13–22 Read article
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Blood Group Prediction Using Fingerprint
Abstract: There is a widespread need worldwide for a cost-effective solution to measure blood groups, especially critical in underprivileged regions. Leveraging Image Processing, a prevalent technology in both affluent and resource-limited areas, presents a viable option for addressing this demand. This project advocates for the use of Image Processing algorithms and detection models to non-invasively ascertain blood groups. Its goal is to offer workable solutions for creating a point-of-care instrument that …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 1–6 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Smart Video Surveillance System in Banks
Abstract: This review paper represents an aristocratic approach for acute video surveillance system and human activities automatic recognition from video sequences and has an embellish presence in every sphere of life. This paper is reviewed about video monitoring systems with its uses and kinds of video superintendence techniques. But we have mainly concentrated on acute video surveillance technique based on summarization because it provides behavioral analysis capabilities based on any videos. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 1–4 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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Medical Image Fusion Using Fuzzy Logic and DHT Based Feature Extraction
Abstract: Abstract The traditional medical image fusion techniques suffer from various issues such as these techniques did not detect the relevant information from the image as the whole image is considered as important whether it is meaningful to the user or not. Thus a novel fuzzy based image fusion technique is developed in this work to fuse the MRI and PET images. Before fusing the images, the 2DHT, HIS transformation and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 9–17 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Detection of Road Objects and Road Signs from 3D Mobile Mapping System
Abstract: As the number of practical applications of point clouds from a mobile mapping system (MMS) increases, the use of modeled data from MMS has also increased in many fields. However, the data-modeling process is costly. Therefore, in order to make the modeling process efficient, a method of recognizing road objects is needed. Conventional methods cannot recognize objects that include various shapes such as walls and guardrails, or objects that are …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 26–30 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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Digital Signature Scheme for Image
Abstract: : Image authentication techniques have currently added great consideration due to its importance for a large number of multimedia applications. Digital images are progressively communicated over non-secure channels such as the Internet. Therefore, military, medical and quality control images must be protected against attempts to manipulate them; such manipulations could tamper the decisions based on these images. To protect the authenticity of multimedia images, several approaches have been proposed. These …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 41–48 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Review on Medical Image Enhancement Techniques
Abstract: Abstract—Image enhancement is the process of improving visual quality of the image. In this paper, Image Processing Methods were implemented on CTA medical images for better understanding. LPFED with different kernels, GLTLPF, are the major techniques that were used to enhance images. The output results give more insights about the images and enhance the overall scope of finding more perceptions. Keywords: Medical Image, Image Enhancement, Filter, Gray Level, Edge, Computer …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 16–21 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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DressCode Monitoring System
Abstract: This project aims to develop a dress code monitoring system using YOLO v5 object detection technology. Thesystem utilizes a camera to capture images or video footage of individuals entering a specific area and then uses YOLO v5 todetect their clothing and ensure that it complies with the predefined dress code standards. The system utilizes a deep learningalgorithm to accurately recognize various clothing items and differentiate between compliant and non-compliant attire. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 11–19 Read article
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A Review on Image Processing, and Artificial Intelligence for Image Analysis
Abstract: ABSTRACTIn this paper we reviewed Image processing and artificial intelligence in which a method is performed some operations on an image in order to get an improved vision or to get some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image. Nowadays, image processing is among rapidly growing technologies which is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 39–43 Read article
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Denoise Mechanism for Digital Images
Abstract: With the rapid advancement of today’s information technology, the analysis of digital images has endured rapid evolution in technology and is frequently utilized in everyday situations and enterprises. There are specific problems in the transmission process. Images are influenced by the compression of data and communication. In color image processing, a variety of well-established approaches to suppressing noise are offered. The variety of noise corrupting the image determines the nature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 11–17 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article