Search
79 articles for “Object detection”
-
Redundant Keypoint Elimination Using Redundancy Index on Basic SIFT Algorithm
Abstract: ABSTRACT Matching features across different images is a common problem in computer vision. For the images of different scales and rotations, there is the need of scale-invariant feature transform (SIFT). SIFT identifies the distinctive keypoints that are invariant to location, scale, rotation, robust to affine transformations (changes in scale, rotation, shear, and position) and changes in illumination, which are usable for object recognition. SIFT algorithm includes two main stages: feature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 22–31 Read article
-
Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
-
Time and Cost Overrun Factors in Building Construction Projects in India
Abstract: The construction project is one of the most important and significant sectors for financial development and progress. Achievement of any construction project depends on the timely completion of project within the defined budget. Delay and value overruns are big problem in the construction industry which must be taken care of for a time and price effective projects. These failures can result in various kinds of negative affections like dispute between …
Published in International Journal of Construction Engineering and Planning · Vol. 8, Issue 1, 2022 · pp. 9–13 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
-
Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
-
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
-
General Health Check-up, Health Care Model using CNN and Internet-of-Medical Things
Abstract: Many people may believe that undergoing a comprehensive medical check-up is unnecessary when they feel perfectly healthy. However, this perception is mistaken. Regular health check-ups are essential to maintain overall well-being and to detect potential health issues early, enabling proactive steps to prevent them from worsening. Such check-ups are valuable for both individuals in good health and those with existing medical conditions, as they provide insight into the progress of …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
-
Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
-
identification of triggering factors of migraine
Abstract: Headache disorders, especially the primary types, are considered as major global health problems due to their high prevalence, their almost life-long duration and their substantial disability burden upon the patients 1. The most common primary headaches are tension-type headache and migraine. Migraine headaches may take place due to various triggering factors. One or more triggering factors can be detected in a migraine patient. The important triggers are stress, weather changes, …
Published in International journal of Nursing Science Practice and Research · Vol. 2, Issue 2, 2016 · pp. 33–40 Read article
-
Automatic Vehicle Accident Detection and Reporting with a Blackbox
Abstract: The development and deployment of digital driving technology for a semi-autonomous vehicle is the main goal of this project. Enhancing the driver-vehicle interaction and adding black box functionality are the objectives. The system utilizes an Arduino-based data acquisition system, converting analog control data to digital format and displaying it on an LCD. Communication occurs via embedded networking using the CAN protocol, ensuring efficient data transfer. The system also collects feedback …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 21–30 Read article
-
The Foundations and Principles of Computational Intelligence
Abstract: Artificial intelligence (AI) assumes a driving part in security administrations. A dynamic model Intelligent Intrusion Detection System (IIDS), in view of particular AI approach for intrusion detection. The strategies that are being explored incorporate neural networks and fuzzy logic with network profiling that uses basic data mining procedures to handle the network data. Suspicious interruptions can be followed back to its unique source way and any traffic from that specific …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 17–33 Read article
-
A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
-
Voice Command Automation using Arduino Pro Mini
Abstract: Arduino, the family of the open-source single-board microcontrollers, puts that power in the hands of consumers, allowing serious programmers alike to program their own interactive objects. In this paper we have used arduino pro mini and android mobile to recogize the voice command and compare it with the text. Thus, it automatically detects voice commands.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 1, 2017 · pp. 16–22 Read article
-
The Role of Artificial Intelligence in ICU Patient Monitoring and Predictive Analytics: A Prospective Cohort Study
Abstract: Background: Intensive Care Units (ICUs) face challenges in effectively monitoring critically ill patients. Traditional monitoring methods may not detect subtle signs of deterioration in time, leading to worsened outcomes. Artificial Intelligence (AI)-driven monitoring systems have emerged as a potential solution, promising improved predictive capabilities and patient outcomes. Objective: This study aimed to evaluate the impact of AI-based monitoring systems on ICU patient outcomes, focusing on mortality rates, length of ICU …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
-
Algorithms Used for D-STATCOM to Achieve Compensation Current Detection
Abstract: Now a day’s power electronic based equipments are used in industrial and domestic purpose. Passive filter has been used traditionally for mitigating the distortion due to harmonic current in industrial power systems. But they have many drawbacks such as resonance problem, dependency of their performance on the system impedance etc. To overcome of such problem active power filters is introduced. It has no such drawbacks like passive filter. They inject …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 7–19 Read article
-
SARGoT: Smart Autonomous Robotic Goods Transporter
Abstract: In the present condition industrial loading and unloading of heavy loads manually is one of the most important objectives which turn out to be quite difficult, time-consuming and risky for humans. In this modern era, robots are being developed for various purposes to accomplish many tasks which seem to be too complex for humans. The advantage of using robots, for industrial purpose have been excellent in terms of speed and …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 23–29 Read article
-
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
-
Condition Assessment of Structures Using Vibration Technique
Abstract: Structural Health Monitoring grasps the Promise for enhancing the structural performance with an outstanding cost/benefit ratio. Condition assessment is a technique used in health monitoring in the damage detection, to ensure the serviceability and the durability of the structures. In the present report, condition assessment of the structures using low frequency technique is being completed through experimental modal analysis and computational analysis software ANSYS 9.0 over structural elements beam and …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 1, 2017 · pp. 36–46 Read article
-
Short Communication on Fingerprint Image Enhancement and its Future Scope
Abstract: The fingerprint images are rarely of perfect quality, due to the reasons like variations in impression condition, skin condition, scanning devices or may be due to non-co-operative attitude of the subject. This degraded quality of image can result in a significant number of spurious minutiae being created and genuine minutiae being ignored. A vital step in studying the statistics of fingerprint minutiae is to reliably extract the minutiae feature from …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 7–8 Read article
-
AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article