Automatic construction of image inspection algorithm by using image processing network programming

2017 ◽  
Author(s):  
Yuichiro Yoshimura ◽  
Kimiya Aoki
Keyword(s):  
Image Processing ◽  
Network Programming ◽  
Automatic Construction ◽  
Image Inspection ◽  
Processing Network

scholarly journals Automatic Construction of Image Inspection System by Using Image Processing Network Programming

2015 ◽  
Vol 81 (12) ◽  
pp. 1193-1197 ◽  
Author(s):  
Yuichiro YOSHIMURA ◽  
Yudai FURUYA ◽  
Shuta NEGORO ◽  
Kimiya AOKI ◽  
Seiji YAMATOGI ◽  
...  
Keyword(s):  
Image Processing ◽  
Inspection System ◽  
Network Programming ◽  
Automatic Construction ◽  
Image Inspection ◽  
Processing Network

scholarly journals Automatic Construction of Digital Woven Fabric by Using Sequential Yarn Images

2019 ◽  
Vol 19 (2) ◽  
pp. 147-156
Author(s):  
Zhongjian Li ◽  
Fei Yu ◽  
Ning Zhang ◽  
Yichen Lu ◽  
Ruru Pan ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Cross Sections ◽  
Woven Fabric ◽  
Intensity Curve ◽  
Automatic Construction ◽  
Weave Structure ◽  
Fabric Structure ◽  
Curve Model ◽  
The Mathematical Model

Abstract In this article, a computerized method is proposed for simulating digital woven fabric (DWF) based on sequential yarn images captured from a moving yarn. A mathematical model of woven fabric structure is established by assuming that the crimped shape of yarns in weave structure is elastica, and the cross-sections of yarn in sequence image and fabric are circular and ellipse, respectively. The sequential yarn images, which are preprocessed and stitched first by image processing methods, are resized based on the mathematical model. Then a light intensity curve, which consists of radial curve model and axial curve model, is used to simulate the gray texture distribution of interlacing points in radial and axial directions. Finally, a Boole Matrix model is used to control the woven pattern. In the experiment, a slub yarn and a normal yarn samples with same count are applied to simulate gray texture fabrics. Then the gray fabrics are transformed to color fabrics based on three color maps. The fabric simulations are confined to single fabrics of plain, 2/2 matt, and 1/3 twill weaves.

scholarly journals Metric Induced Morphological Operators on Intuitionistic Fuzzy Hypergraphs

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
P. M. Dhanya ◽  
A. Sreekumar ◽  
M. Jathavedan ◽  
P. B. Ramkumar
Keyword(s):  
Image Processing ◽  
Network Analysis ◽  
Text Processing ◽  
Morphological Operators ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Hypergraphs ◽  
Processing Network ◽  
Sequential Filter

A hypergraph consisting of hyperedges and nodes can be made intuitionistic fuzzy hypergraph (IFHG) by assigning membership and nonmembership degrees for both nodes and edges. Just as a hypergraph, an IFHG is also having hyperedges consisting of many nodes. Many flavours of a given IFHG can be created by applying morphological operators like dilation, erosion, adjunction, etc. The focus of this paper is to define morphological adjunction, opening, closing, and Alternative Sequential Filter (ASF) on IFHG. The system modeled in this way finds application in text processing, image processing, network analysis, and many other areas.

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