High-Speed Automatic Detection of Seal Impression in Bill by Template Matching

2010 ◽  
Vol 130 (7) ◽  
pp. 1186-1191
Author(s):  
Junya Okunaga ◽  
Sigeru Omatsu ◽  
Michifumi Yoshioka ◽  
Toshihisa Kosaka
Keyword(s):  
Template Matching ◽  
High Speed ◽  
Automatic Detection

Research on the Inspection and Mark on the Defects of Printed Matter Based on Template Matching Algorithm

2015 ◽  
Vol 713-715 ◽  
pp. 377-380
Author(s):  
Shi Yuan Xing ◽  
Yan Qiu Liu ◽  
Yuan Song Zheng
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
High Speed ◽  
Detection Method ◽  
Automatic Detection ◽  
Printing Industry ◽  
Matching Algorithm ◽  
Displacement Error ◽  
Noise Function ◽  
Neighborhood Method

Defects inspection of printed matter that combines the image processing technology with printing principle is a kind of automatic detection method for high speed printing. In view of the displacement error, stains wrinkle, fuzzy words in the current printing industry, this paper has adopted template matching algorithm to compare the standard image and the detected image, followed by the neighborhood method to analyze, then extracted the defects and marked the defect location. This study has good anti-noise function and makes detection precision be controlled within 0.5mm×0.5mm.

Automatic detection of arbitrarily oriented fastener defect in high-speed railway

2021 ◽  
Vol 131 ◽  
pp. 103913
Author(s):  
Yunpeng Wu ◽  
Yong Qin ◽  
Yu Qian ◽  
Feng Guo
Keyword(s):  
High Speed ◽  
Automatic Detection ◽  
High Speed Railway

Circuit Breaker Mechanical Characteristic Parameters Measurement Based on Machine Vision

2014 ◽  
Vol 687-691 ◽  
pp. 934-937
Author(s):  
Shu Tao Zhao ◽  
Yu Tao Xu ◽  
Zhi Wan Cheng ◽  
Jian Feng Ren ◽  
Dan Jiang
Keyword(s):  
Mechanical Characteristic ◽  
Template Matching ◽  
High Speed ◽  
Circuit Breaker ◽  
Motion Pictures ◽  
Time Interval ◽  
Connecting Rod ◽  
Characteristic Parameters ◽  
Coordinate Changes ◽  
Parameters Measurement

Aim at the disadvantages of traditional circuit breaker mechanical characteristic parameters test. Get the motion pictures of insulation connecting rod through high-speed camera, using the finite difference method to quickly screen out the motion pictures, and selecting punctuation area as a template for learning, using non-uniform sampling have a template matching, obtain the center coordinates of matching results, time interval is known every frame. Through coordinate changes over time we can obtain mechanical parameters of the circuit breaker accurately, fast, conveniently. Lab VIEW programs achieve the above process automatically.

Mouth Shape Detection Based on Template Matching and Optical Flow for Machine Lip Reading

2013 ◽  
Vol 1 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Tsuyoshi Miyazaki ◽  
Toyoshiro Nakashima ◽  
Naohiro Ishii
Keyword(s):  
Optical Flow ◽  
Template Matching ◽  
High Speed ◽  
Image Sequences ◽  
Previous Method ◽  
The Other ◽  
High Speed Camera ◽  
Improved Method ◽  
Time Period ◽  
Lip Reading

The authors describe an improved method for detecting distinctive mouth shapes in Japanese utterance image sequences. Their previous method uses template matching. Two types of mouth shapes are formed when a Japanese phone is pronounced: one at the beginning of the utterance (the beginning mouth shape, BeMS) and the other at the end (the ending mouth shape, EMS). The authors’ previous method could detect mouth shapes, but it misdetected some shapes because the time period in which the BeMS was formed was short. Therefore, they predicted that a high-speed camera would be able to capture the BeMS with higher accuracy. Experiments showed that the BeMS could be captured; however, the authors faced another problem. Deformed mouth shapes that appeared in the transition from one shape to another were detected as the BeMS. This study describes the use of optical flow to prevent the detection of such mouth shapes. The time period in which the mouth shape is deformed is detected using optical flow, and the mouth shape during this time is ignored. The authors propose an improved method of detecting the BeMS and EMS in Japanese utterance image sequences by using template matching and optical flow.

scholarly journals Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Ayman El-Baz ◽  
Ahmed Elnakib ◽  
Mohamed Abou El-Ghar ◽  
Georgy Gimel'farb ◽  
Robert Falk ◽  
...  
Keyword(s):  
Template Matching ◽  
Automatic Detection ◽  
Spiral Ct ◽  
Lung Nodules ◽  
Data Sets ◽  
Genetic Optimization ◽  
Anatomical Structures ◽  
Lung Abnormalities ◽  
Ct Data ◽  
2D And 3D

Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs. In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans. The proposed algorithm consists of three main steps. The first step isolates the lung nodules, arteries, veins, bronchi, and bronchioles from the surrounding anatomical structures. The second step detects lung nodules using deformable 3D and 2D templates describing typical geometry and gray-level distribution within the nodules of the same type. The detection combines the normalized cross-correlation template matching and a genetic optimization algorithm. The final step eliminates the false positive nodules (FPNs) using three features that robustly define the true lung nodules. Experiments with 200 CT data sets show that the proposed approach provided comparable results with respect to the experts.

High-speed template matching algorithm using information of contour points

1992 ◽  
Vol 23 (9) ◽  
pp. 78-87 ◽  
Author(s):  
Manabu Hashimoto ◽  
Kazuhiko Sumi ◽  
Yoshikazu Sakaue ◽  
Shinjiro Kawato
Keyword(s):  
Template Matching ◽  
High Speed ◽  
Matching Algorithm

A Study on the Recognition of Low-Resolution Motion Visual Image

2012 ◽  
Vol 542-543 ◽  
pp. 690-694 ◽  
Author(s):  
Jian Chuan Zhang ◽  
Huai Bo Song ◽  
Xue Yong Li ◽  
Chang Hou Lu
Keyword(s):  
Template Matching ◽  
High Speed ◽  
Visual Image ◽  
Small Region ◽  
Great Accuracy ◽  
Size Difference ◽  
Picture Quality ◽  
Real Time System ◽  
Low Snr ◽  
Image Segmentation Algorithm

Because of shortcomings of images of motion objects in deep space，including non-uniform distribution of background pixels，low SNR, general 1ow picture quality and small size，a novel image segmentation algorithm based on the combination of image gradient and its variance is adopted. An algorithm to compute the correlation coefficient based on the small region template matching is presented. The algorithm overcomes the disadvantages of correlation disturbed frequently by noise, and size difference, besides it also reduces the computational complexity and improves the speed of the system．Experiments show that the algorithm has great accuracy，high speed，and good stability，and can meet the requirements of a real-time system.

scholarly journals Non-Contact Measurement of the Surface Displacement of a Slope Based on a Smart Binocular Vision System

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2890 ◽  
Author(s):  
Leping He ◽  
Jie Tan ◽  
Qijun Hu ◽  
Songsheng He ◽  
Qijie Cai ◽  
...  
Keyword(s):  
Monitoring System ◽  
Template Matching ◽  
High Speed ◽  
Surface Deformation ◽  
Least Squares Method ◽  
Vision System ◽  
Deformation Monitoring ◽  
Tracking Algorithm ◽  
Zernike Moment ◽  
Tracking Accuracy

The paper presents an intelligent real-time slope surface deformation monitoring system based on binocular stereo-vision. To adapt the system to field slope monitoring, a design scheme of concentric marking point is proposed. Techniques including Zernike moment edge extraction, the least squares method, and k-means clustering are used to design a sub-pixel precision localization method for marker images. This study is mostly focused on the tracking accuracy of objects in multi-frame images obtained from a binocular camera. For this purpose, the Upsampled Cross Correlation (UCC) sub-pixel template matching technique is employed to improve the spatial-temporal contextual (STC) target-tracking algorithm. As a result, the tracking accuracy is improved to the sub-pixel level while keeping the STC tracking algorithm at high speed. The performance of the proposed vision monitoring system has been well verified through laboratory tests.

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