Showing 1-25 of 80 resultsfor "Index Terms":fuzzy corner detection
"Index Terms":fuzzy corner detection
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
Face and Palm Identification by the Sum-Rule and Fuzzy Fusion
2022 2nd Asian Conference on Innovation in Technology (ASIANCON)
Year: 2022 | Conference Paper |
Multi-Biometrics is a useful technique for the identification of a person. A person has many characteristics that help to identify him. Due to the limitations of unimodal biometrics, multimodal biometrics is being used to obtain more precise results. We propose a method for identifying individuals that integrates facial and palmprint modalities, we apply the Gaussian filter for features extraction...Show More
Fuzzy Edge and Corner Detector for Color Images
Hanmandlu Madasu;O.P. Verma;Pankaj Gangwar;Shantaram Vasikarla
2009 Sixth International Conference on Information Technology: New Generations
Year: 2009 | Conference Paper |
Localization of edges and corner points by fuzzy detectors in images is the main concern of this paper. This paper presents an approach to edge and corner detection based on fuzzy logic. In this approach SUSAN mask is employed to compute USAN area. The histogram of USAN area permits us construct type 1 and type 2 fuzzy membership functions by fuzzifying USAN area computed about every pixel in an i...Show More
A Corner Feature Matching Model Based on Improved Hausdorff Distance
2009 Second International Conference on Intelligent Computation Technology and Automation
Year: 2009 | Conference Paper |
Cited by: Papers (1)
A new corner detection algorithm is proposed to get image corners, and then a novel improved partial Hausdorff distance is presented as the similarity measure between the template and images. Finally, a genetic algorithm with the probabilities of crossover and mutation self-adaption based on fuzzy control is used to search the optimum matching quickly. The experimental results show that the matchi...Show More
Soft-Computing-Based Car Body Deformation and EES Determination for Car Crash Analysis Systems
Car body deformation modeling plays a very important role in crash accident analyses, as well as in safe car body design. The determination of the energy absorbed by the deformation and the corresponding energy equivalent speed can be of key importance; however, their precise determination is a very difficult task. Starting from the results of crash tests, intelligent and soft methods offer a way ...Show More
Wall following and human detection for mobile robot surveillance in indoor environment
2014 IEEE International Conference on Mechatronics and Automation
Year: 2014 | Conference Paper |
Cited by: Papers (6)
This paper describes the design of an indoor surveillance system capable of wall following and human detection based on intelligent mobile robot navigation. The wall following is performed based on a differential velocity control using type-2 fuzzy logic for a wheeled mobile robot equipped with IR sensors and sonar sensors, and human detection is performed by a human detection sensor. We have test...Show More
Detection and measurement of arc of lumen calcification from intravascular ultrasound using Harris Corner detection
Nilanjan Dey;Anamitra Bardhan Roy;Poulami Das;Achintya Das;Sheli Sinha Chaudhuri
2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS
Year: 2012 | Conference Paper |
Cited by: Papers (8)
Intravascular ultrasound (IVUS) is a medical imaging system, which uses a specially designed catheter equipped with a small ultrasound probing device at the distal end of the catheter. This system allows the ultrasound technology in visualizing the blood vessels from the inside and is capable of imaging the diseased vessels, measuring length of the plaque, and detecting composition of the plaque a...Show More
Automatic measurement of garment dimensions using machine vision
2010 International Conference on Computer Application and System Modeling (ICCASM 2010)
Year: 2010 | Conference Paper |
In view of the existing situation of manual measurement of garment dimensions, machine vision has been used widely in automatic measurement of garment dimensions. In this paper, adaptive median filter algorithm is adopted to eliminate the garment image noise; a fast fuzzy edge-detection algorithm is used to detect the edge of garment image; and a new corner-detection algorithm based on Freeman cod...Show More
An improved collision avoidance scheme using Artificial Potential Field with fuzzy logic
John Paolo C. Tuazon;Ken Gilfed V. Prado;Neil John A. Cabial;Reeann L. Enriquez;Francesca Louise C. Rivera;Kanny Krizzy D. Serrano
The Artificial Potential Field (APF), reputed for being one of the most prominent algorithm for traversing a path in the shortest distance possible, has a critical disability when confronted by obstacles classified by the state of being under local minima. The said state occurs when the APF algorithm yields an appreciable attractive force between the immediate position of the robot and the goal di...Show More
Corner Detection of Contour Images using Spectral Clustering
2007 IEEE International Conference on Image Processing
Year: 2007 | Conference Paper |
Cited by: Papers (1)
Corner detection plays an important role in object recognition and motion analysis. In this paper, we propose a hierarchical corner detection framework based on spectral clustering (SC). The framework consists of three stages: contour smoothing, corner cell extraction and corner localization. In the contour smoothing stage, wavelet decomposition is imposed on the raw contour to reduce noise. In th...Show More
Research on Application Technology of Target Tracking System Based on Multi-rotor
2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
Year: 2019 | Conference Paper |
Aiming at the rapidity and accuracy of target tracking in multi-rotor low-altitude motion process, the application of moving target detection system in video sequence on multi-rotor platform is proposed. In this study, template matching and feature point detection in visual sensing were used to track image targets. A Kalman filtering, feature point detection and multi-scale Harris angle matching t...Show More
Fuzzy logic control of an obstacle avoidance robot
Proceedings of IEEE 5th International Fuzzy Systems
Year: 1996 | Conference Paper |
Cited by: Papers (9)
A fuzzy controller is used to control an obstacle avoidance mobile robot. In this classical problem, the aim is to guide a mobile robot along its path to avoid any static obstacles in front of it. Obstacle avoidance in real-time is a mandatory feature for mobile robots in a dynamically unknown environment. The controller presented here uses three sub-controllers. The outputs are summed to produce ...Show More
Feature extraction for neural-fuzzy inference system
Proceedings of the International Joint Conference on Neural Networks, 2003.
Year: 2003 | Conference Paper |
Currently, not many attempts are made to use neural-fuzzy inference system for recognizing primitive features of an input image. The objective of this paper is to propose a method of feature extraction so as the features obtained can be trained in a novel neural-fuzzy inference system called POP-CHAR. Common features of digit characters are extracted and converted into vectors. The neural-fuzzy in...Show More
Design and implementation of fuzzy-logic based obstacle-avoidance and target-reaching algorithms on NI's embedded-FPGA robotic platform
Muhammad Mysorewala;Khaled Alshehri;Eyad Alkhayat;Adnan Al-Ghusain;Omar Al-Yagoub
2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA)
Year: 2013 | Conference Paper |
Cited by: Papers (3)
In this work we design, simulate and implement two fuzzy-logic based algorithms for mobile robots: one for obstacle avoidance, and another one with the combined objective of avoiding obstacles and as well as reaching a pre-defined target point in an unknown environment. The hardware used in this project is the National Instruments (NI)'s embedded robotic platform which houses the SBRIO (Single-boa...Show More
Fuzzy based driver fatigue detection
2010 IEEE International Conference on Systems, Man and Cybernetics
Year: 2010 | Conference Paper |
Cited by: Papers (15)
International statistics shows that large numbers of road accidents are caused due to driver fatigue. In this paper the authors tried to detect the fatigue of a person who is working under some stressful conditions like Driving. The principle of the proposed system is based on the facial image analysis for warning the driver of fatigue to prevent traffic accidents. The facial images of the driver ...Show More
Automatic Polling Seeded Region Growing (APSRG) for Segmentation of Blood Vessels in Fundus
Putri Nur Rahayu;Dimas Fanny Hebrasianto Permadi;Danang Erwanto
2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Seeded Region Growing (SRG) method can be applied to similar or extremely small image regions for avoiding over-segmentation with complex backgrounds. The original SRG is just using the Fuzzy method and combined with Region Growing to have the edge with a tiny region. In this research, SRG can be applied to the Blood vessel in Fundus. A blood vessel in Fundus is placed in the retina. This tiny blo...Show More
Spectral fuzzy classification system for target recognition
22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003
Year: 2003 | Conference Paper |
Cited by: Papers (6)
The goal of this paper is to present an algorithm for terrain matching, leveraging an existing fuzzy clustering algorithm, and modifying it to its supervised version, in order to apply the algorithm to georegistration and, later on pattern recognition. Georegistration is the process of adjusting one drawing or image to the geographic location of a "known good" reference drawing, image, surface or ...Show More
Evaluation of Driver Drowsiness based on Real-Time Face Analysis
Giovanni Salzillo;Ciro Natale;Giovanni B. Fioccola;Enrico Landolfi
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Year: 2020 | Conference Paper |
Cited by: Papers (13)
Driving a car is a complex and potentially risky activity in people's everyday life, and it requires the full involvement of physiological and cognitive resources. Any loss of these resources can cause traffic accidents. For example, drowsy driving affects the ability to adapt, predict and react to unexpected events. A solution to this problem is the adoption of Advanced Driver Assistance Systems ...Show More
Recognition of ancient Kannada Epigraphs using fuzzy-based approach
2014 International Conference on Contemporary Computing and Informatics (IC3I)
Year: 2014 | Conference Paper |
Cited by: Papers (5)
Optical Character Recognition finds application in the field of Epigraphy, which is the study of inscriptions. Epigraphers who read ancient inscriptions are nowadays less in number and almost becoming extinct. There is a lot of scope for digitization of these historical records and automated decipherment of the same. An attempt is made for the recognition of text in ancient Kannada script of two d...Show More
A fast corner detector for fuzzy mineshaft images based on dual-threshold
2012 International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP)
Year: 2012 | Conference Paper |
We proposed a fast corner detection algorithm based on dual-threshold, which can detect the corners efficiently in real-time for the fuzzy and uneven brightness mineshaft video images. First, the detector recognizes the flat region and corner region according to four pixels in four directions around the detected pixel, and only detects the corner region to reduce the time consuming. Second, the de...Show More
Double Mode Fuzzy Control of Gas Drainage System for Coal Local Ventilator
2009 International Asia Conference on Informatics in Control, Automation and Robotics
Year: 2009 | Conference Paper |
Coal gas drainage out of the mine excavation workspace is the urgent problem to be solved for safe production, a novel double mode fuzzy control strategy of gas drainage system for the coal local ventilator is proposed in the paper. One fuzzy control mode is used in normal aeration state. The other mode is adopted to expel the gas from the mine well, when the gas strength is abnormal. The switchin...Show More
Gas discharging system based on fuzzy control
Guodong You;Shifeng Yang;Xueyuan Yan;Zhensheng Wang;Dejin Wang;Yong Hou;Jisheng Li;Shufang Wang
2009 IEEE International Conference on Intelligent Computing and Intelligent Systems
Year: 2009 | Conference Paper |
Cited by: Papers (1)
The character of gas moving and air flow in heading laneway of underground coal mine was analyzed. Moreover, conventional double fuzzy control model was found to carry out two work mode, normal ventilation and gas discharging. In order to enhance the learning capabilities of the system to the environment, self-learning fuzzy model for auxiliary fan was built to tackle with normal ventilation and g...Show More
Fuzzy Logic Applications to Fire Control Systems
2006 IEEE International Conference on Fuzzy Systems
Year: 2006 | Conference Paper |
The paper objective is to study and solve one of the problems encountered in the development of a fire control system. Fire control encompasses all operations required to apply fire on a target. We can not cover in this paper the whole set of mathematical problems in which fire control applications can be divided. Therefore, we will focus in one of the initial phases, the target detection problem....Show More
Image filtering, edge detection, and edge tracing using fuzzy reasoning
We characterize the problem of detecting edges in images as a fuzzy reasoning problem. The edge detection problem is divided into three stages: filtering, detection, and tracing. Images are filtered by applying fuzzy reasoning based on local pixel characteristics to control the degree of Gaussian smoothing. Filtered images are then subjected to a simple edge detection algorithm which evaluates the...Show More
A New Right Angle Corner Detection Method
2009 International Conference on Artificial Intelligence and Computational Intelligence
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Right angle corner detection is important for wide range of image processing and machine vision application. A new way of right angle corner detecting is proposed. Inspired from the description of feature points in SUSAN operator and the definition of membership degree in fuzzy theory, the new algorithm is discussed. The analysis and schemes are verified by experiment. The windfall gain is that th...Show More
An empirical evaluation of local descriptors in object recognition
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Year: 2016 | Conference Paper |
Cited by: Papers (3)
Feature descriptors play a vital role in object recognition. In this paper, an empirical evaluation of various local descriptors used for object recognition is presented. COIL-100 dataset is used to perform the experimental analysis. The descriptors are evaluated on the basis of the number (size) of features extracted and the time taken for their execution. Experimental results using these descrip...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.