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.

An Efficient Image-Based Method for Detection of Fastener on Railway

2011 ◽  
Vol 346 ◽  
pp. 731-737 ◽  
Author(s):  
Jin Feng Yang ◽  
Man Hua Liu ◽  
Hui Zhao ◽  
Wei Tao
Keyword(s):  
Image Processing ◽  
Efficient Method ◽  
Template Matching ◽  
Detection Method ◽  
Experimental Results ◽  
Feature Descriptor ◽  
Complex Environment ◽  
Computation Efficiency ◽  
The Status ◽  
Direction Field

This paper presents an efficient method to detect the fastener based on the technologies of image processing and optical detection. As feature descriptor, the Direction Field of fastener image is computed for template matching. This fastener detection method can be used to determine the status of fastener on the corresponding track, i.e., whether the fastener is on the track or missing. Experimental results are presented to show that the proposed method is computation efficiency and is robust for fastener detection in complex environment.

An automatic detection method to the field wheat based on image processing

2013 ◽  
Author(s):  
Yu Wang ◽  
Zhiguo Cao ◽  
Xiaodong Bai ◽  
Zhenghong Yu ◽  
Yanan Li
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Automatic Detection

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

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

The Contour Size Detection of Driver Airbag Based on Image Processing Technology

2013 ◽  
Vol 658 ◽  
pp. 546-550
Author(s):  
Xiao Dong Wang ◽  
Xiao Wei Chen ◽  
Wei Zhang ◽  
Bo Liu ◽  
Liang Dong An
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Detection Method ◽  
Detection Efficiency ◽  
Ccd Camera ◽  
Processing Technology ◽  
Edge Extraction ◽  
Image Preprocessing ◽  
The Poor ◽  
Image Processing Technology

In this paper we have developed a new methodology for detecting the contour size of driver airbag based on image processing technology and Machine vision. Through the CCD camera we can obtain the image, and then do the following operations by a computer, such as binarization, edge extraction and so on the other image preprocessing. This methodology uses intelligent template matching technology to detect the airbags and by comparing with the predefined parameter to determine whether the contour size is qualified .The experimental results show that: this new detection method solves the disadvantage of traditional detection method, such as the low detection efficiency, the detection precision is not high, the poor detection repeatability, the higher rate of detection miscarriage of justice.

scholarly journals Detection of Vehicles Number Plate Using Image Processing with Template matching Method

2019 ◽  
Vol 7 (1) ◽  
pp. 14-24
Author(s):  
Ivany Sarief ◽  
Harfin Yusuf Biu ◽  
Fajar Harismana ◽  
Sepryan Ismail Chandra
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Input Image ◽  
License Plate ◽  
Processing Unit ◽  
Matching Method ◽  
Capture Process ◽  
Matching Algorithm ◽  
Template Image ◽  
Parking System

To design a system in order to identify an object number plate for the Indonesian format, an initial system is designed, in the form of a vehicle licence plate recognition application using template matching method. The goal of this application is to be implemented to the parking system by identifying the number plate. This system uses the camera for the image capture process, by utilizing image processing technology with the matching correlation template method for recognition to produce a string value from the image. Before doing recognition process, First, the pre processing stage is performed on the input image which includes grayscale, binary, until the segmentation stage before the correlation / comparison process is carried out on the image of Template. The process that occure in the pre-processing unit done for some reason including to make the image lighter and less complex. This process will make the image easer to be processed and also to increase the proses speed of the system. Before aply template matching algorithm to the image output from segmentation process, the image has to be resized first to match the size of the template image stored in data base. This has to done so that the target image and the template image can be match directly with template matching algorithm.  The output of this system is a string value which is refer to the value of the license plate capture by camera used by the system. The problem that arises in the introduction process is how to identify various types of characters with various sizes and shapes so that the string value is the same as the text image. The average success rate of this application is 70% so that further research must be carried out so this system can be implemented into the parking system. Keyword : Image Processing, Template matching, Camera, Number Plate, Matlab

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