An Improved Rapid SURF Algorithm Based on Region of Interest

2014 ◽  
Vol 945-949 ◽  
pp. 1861-1868
Author(s):  
Ya Jun Liu ◽  
Ren Quan Wan ◽  
Zhong Ren Wang ◽  
Chang Cheng Jiang
Keyword(s):  
Image Matching ◽  
Region Of Interest ◽  
Threshold Value ◽  
Inspection System ◽  
Research Application ◽  
Matching Algorithm ◽  
Vision Inspection ◽  
Traditional Algorithm ◽  
Speed Up ◽  
Speed Up Robust Feature

The purpose of this paper is to research application of speed-up robust feature (SURF) based on the region of interest for workpiece matching and positioning. Thresholding is a simple but important method to perform image segmentation. In order to reduces the complexity of the data and simplifies the process of recognition, the image is segmented by threshold value method which eliminates and suppresses useless information of image background. The image matching algorithm shows a better performance on real-time than the standard SURF and it succeeds in accelerating the speed of image pre-processing before image matching. In addition, the good robustness and adaptability of SURF are maintained. Compared with the traditional algorithm, improved algorithm enhances the efficiency of vision inspection system and can be used in other applications of image matching.

Non-iterative object detection methods in electrical tomography for robotic applications

2017 ◽  
Vol 36 (5) ◽  
pp. 1411-1420 ◽  
Author(s):  
Stephan Mühlbacher-Karrer ◽  
Juliana Padilha Leitzke ◽  
Lisa-Marie Faller ◽  
Hubert Zangl
Keyword(s):  
Object Detection ◽  
Region Of Interest ◽  
Threshold Value ◽  
Detection Methods ◽  
Planar Geometry ◽  
Electrical Tomography ◽  
Content Type ◽  
Speed Up ◽  
Capacitance Tomography ◽  
Robotic Applications

Purpose This paper aims to investigate the usability of the non-iterative monotonicity approach for electrical capacitance tomography (ECT)-based object detection. This is of particular importance with respect to object detection in robotic applications. Design/methodology/approach With respect to the detection problem, the authors propose a precomputed threshold value for the exclusion test to speed up the algorithm. Furthermore, they show that the use of an inhomogeneous split-up strategy of the region of interest (ROI) improves the performance of the object detection. Findings The proposed split-up strategy enables to use the monotonicity approach for robotic applications, where the spatial placement of the electrodes is constrained to a planar geometry. Additionally, owing to the improvements in the exclusion tests, the selection of subregions in the ROI allows for avoiding self-detection. Furthermore, the computational costs of the algorithm are reduced owing to the use of a predefined threshold, while the detection capabilities are not significantly influenced. Originality/value The presented simulation results show that the adapted split-up strategies for the ROI improve significantly the detection performance in comparison to the traditional ROI split-up strategy. Thus, the monotonicity approach becomes applicable for ECT-based object detection for applications, where only a reduced number of electrodes with constrained spatial placement can be used, such as in robotics.

Optimization of the Feedback and Control Module for Light Source of High-Speed Vision Inspection System

2013 ◽  
Vol 330 ◽  
pp. 465-471
Author(s):  
Feng Long Jia ◽  
Shuang Yun Shao
Keyword(s):  
Light Source ◽  
High Speed ◽  
Optimization Design ◽  
Feedback System ◽  
Threshold Value ◽  
Source Control ◽  
Inspection System ◽  
Feedback Signal ◽  
Vision Inspection ◽  
And Control

The situations of insufficient or too much exposure of lights often happen in high-speed vision inspection system. In order to improve the ability to adapt to environment, the feedback and control system is used. If we use the processing method of integral threshold value, the control of light source wont work. Besides, the former feedback system has the stoboflash problem, so optimization design is needed. A new feedback signal extraction method is put forward and the program of source control is optimized, and the adaptability of the diction system to the change of the environment light is improved, it works out the function of controlling the LED light source automatically and steadily under the effects of environment light and the problem of stroboflash.

scholarly journals Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi

2015 ◽  
Vol 11 (4) ◽  
pp. 144
Author(s):  
Bulkis Kanata
Keyword(s):  
Image Matching ◽  
Cross Correlation ◽  
Region Of Interest ◽  
Fingerprint Recognition ◽  
Fingerprint Matching ◽  
Fingerprint Image ◽  
Image Capture ◽  
Matching Algorithm ◽  
Specific Part ◽  
Finger Pressure

<p>Fingerprint image matching is an important procedure in fingerprint recognition. Robust fingerprint image matching under a variety of different image capture conditions is difficult to achieve, because of changes in finger pressure, variation of the angle, etc. Fingerprint matching is very important for the development of fingerprint system recognition that is sensitive to finger pressure. This paper proposes a fingerprint matching algorithm that enables the so-called fingerprint template (extracted specific part (region of interest (ROI)) of a person’s fingerprints to be matched to the different fingerprint of the same person or different people taken on different time, angle and a different finger pressure using normalized cross-correlation (NCC). This algorithm was implemented in MATLAB. The results showed that the maximum NCC value for ROI of the source fingerprints and targets that was greater than 0.62 indicates a strong correlation or similarity.</p><p> </p>

Reconfigurable Image Acquisition in the Machine Vision Inspection System

2012 ◽  
Vol 197 ◽  
pp. 376-380
Author(s):  
Da Xing Zhao ◽  
Lei Peng ◽  
Guo Dong Sun ◽  
Wei Feng
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Image Matching ◽  
Visual Inspection ◽  
Detection System ◽  
Image Acquisition ◽  
Inspection System ◽  
Image Detection ◽  
Vision Inspection ◽  
Machine Vision Inspection

Since camera drivers provided by the different manufacturers are not compatible, machine vision systems must be redeveloped according to specific camera. It is great significant to work out the problem, which could improve the versatility of the inspection system. The reconfigurable technology has applied to image processing, image matching and so on. Hence, in the paper the reconfigurable image acquisition module is designed, which reserves some interfaces for the image detection module. Citing the nonel visual inspection system as an example, adopting DALSA and BASLER cameras to acquire the images, the images was displayed properly. Therefore, the compatibility of the image detection system has been improved greatly.

An Image Matching Algorithm Based on SCCH Feature Descriptor

2011 ◽  
Vol 33 (9) ◽  
pp. 2152-2157 ◽  
Author(s):  
Yong-he Tang ◽  
Huan-zhang Lu ◽  
Mou-fa Hu
Keyword(s):  
Image Matching ◽  
Feature Descriptor ◽  
Matching Algorithm

An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

2011 ◽  
Vol 121-126 ◽  
pp. 701-704
Author(s):  
Xue Tong Wang ◽  
Yao Xu ◽  
Feng Gao ◽  
Jing Yi Bai
Keyword(s):  
Image Matching ◽  
Singular Value ◽  
Feature Points ◽  
Matching Algorithm ◽  
Candidate Feature

Feature points can be used to match images. Candidate feature points are extracted through SIFT firstly. Then feature points are selected from candidate points through singular value decomposing. Distance between feature points sets is computed According to theory of invariability of feature points set, images are matched if the distance is less than a threshold. Experiment showed that this algorithm is available.

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