Automatic machine embroidery image color analysis system, part III: Integration of machine embroidery image color analysis system

2012 ◽  
Vol 82 (20) ◽  
pp. 2090-2098 ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Chih-Yuan Kao ◽  
Bo-Lin Jian ◽  
Chun-Ping Tung
Keyword(s):  
Template Matching ◽  
Pattern Search ◽  
Automatic Machine ◽  
Integrated System ◽  
Color Analysis ◽  
Image Color Analysis ◽  
System Part ◽  
Original Size ◽  
Analysis System ◽  
Repetitive Pattern

This series of study proposed the automatic machine embroidery image color analysis system as an extension of the previous proposed machine embroidery color separation system and repetitive pattern search system. This paper integrated the machine embroidery image color analysis system to achieve system automation. The system is divided into three stages: (1) acquire the embroidery fabric image, filter the acquired image noise, and smooth the embroidery fabric texture before using the transform to reduce image information amount and improve subsequent calculation speed; (2) use the genetic algorithm for the repetitive pattern search, and restore the identified repetitive pattern images to the original size by image pyramids, then use frequency domain template matching to determine the locations of the repetitive patterns to verify repetitive pattern accuracy; (3) apply the Gustafson–Kessel cluster algorithm and cluster validity partition index SC to obtain the machine embroidery image’s number of colors and corresponding areas, then employ half-toning technology to determine color types for chromatography. The integrated system can accurately identify the repetitive patterns for chromatography to realize the automatic drafting of embroidery fabric. It can be further integrated with automatic manufacturing equipment for machine embroidery automation.

Combination of minimum wiping pressure and number of wipings that can remove pseudo‐skin dirt: A digital image color analysis

2020 ◽  
Vol 26 (5) ◽  
pp. 639-647
Author(s):  
Issei Konya ◽  
Inaho Shishido ◽  
Yoichi M. Ito ◽  
Rika Yano
Keyword(s):  
Digital Image ◽  
Color Analysis ◽  
Image Color Analysis

A Quasi-Three-Dimensional Turbomachinery Blade Design System: Part I—Throughflow Analysis

1985 ◽  
Vol 107 (2) ◽  
pp. 301-307 ◽  
Author(s):  
I. K. Jennions ◽  
P. Stow
Keyword(s):  
Three Dimensional ◽  
Computing System ◽  
Design System ◽  
Blade Design ◽  
Weighted Averages ◽  
Streamline Curvature ◽  
Blade Row ◽  
Blade Section ◽  
System Part ◽  
Analysis System

The purpose of this work has been to develop a quasi-three-dimensional blade design and analysis system incorporating fully linked throughflow, blade-to-blade and blade section stacking programs. In Part I of the paper, the throughflow analysis is developed. This is based on a rigorous passage averaging technique to derive throughflow equations valid inside a blade row. The advantages of this approach are that the meridional streamsurface does not have to be of a prescribed shape, and by introducing density weighted averages the continuity equation is of an exact form. Included in the equations are the effects of blade blockage, blade forces, blade-to-blade variations and loss. The solution of the equations is developed for the well-known streamline curvature method, and the contributions from these extra effects on the radial equilibrium equation are discussed. Part II of the paper incorporates the analysis into a quasi-three-dimensional computing system and demonstrates its operational feasibility.

Control System of PDP Lighting Inspection Machine

2011 ◽  
Vol 130-134 ◽  
pp. 1903-1906
Author(s):  
Rui Liu ◽  
Gui Xi Liu ◽  
Peng Ju Chang ◽  
Wei Hua He ◽  
Zeng Jian Huang
Keyword(s):  
Control System ◽  
Control Program ◽  
Structure Design ◽  
Manufacturing Execution System ◽  
Color Analysis ◽  
Visual Positioning ◽  
Plasma Display ◽  
Machine Interface ◽  
Analysis System ◽  
Inspection Machine

The test of panel’s display effect is a key step in the panel production. Lighting inspection machines test the electrical, optical and surface information of Plasma Display Panels (PDPs). This machine is based on a PLC control system and a color analysis system. The PLC system controls a visual positioning system and links to Manufacturing Execution System (MES) and a panel conveyor. This paper considers the structure design and action workflow of the lighting inspection machine. Multi-layer network is built to connect with the whole production system. Optional operation modes are designed in control program and Man-machine interface is introduced to facilitate the operation.

scholarly journals Clinical evaluation of a dental color analysis system: The Crystaleye Spectrophotometer®

2011 ◽  
Vol 55 (4) ◽  
pp. 199-205 ◽  
Author(s):  
Chikayuki Odaira ◽  
Sozo Itoh ◽  
Kanji Ishibashi
Keyword(s):  
Clinical Evaluation ◽  
Color Analysis ◽  
Analysis System

scholarly journals Tongue Color Analysis for Medical Application

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Bob Zhang ◽  
Xingzheng Wang ◽  
Jane You ◽  
David Zhang
Keyword(s):  
Feature Vector ◽  
Medical Application ◽  
Color Analysis ◽  
Color Gamut ◽  
Large Dataset ◽  
Classification Rate ◽  
Average Accuracy ◽  
Group A ◽  
Analysis System ◽  
Tongue Color

An in-depth systematic tongue color analysis system for medical applications is proposed. Using the tongue color gamut, tongue foreground pixels are first extracted and assigned to one of 12 colors representing this gamut. The ratio of each color for the entire image is calculated and forms a tongue color feature vector. Experimenting on a large dataset consisting of 143 Healthy and 902 Disease (13 groups of more than 10 samples and one miscellaneous group), a given tongue sample can be classified into one of these two classes with an average accuracy of 91.99%. Further testing showed that Disease samples can be split into three clusters, and within each cluster most if not all the illnesses are distinguished from one another. In total 11 illnesses have a classification rate greater than 70%. This demonstrates a relationship between the state of the human body and its tongue color.

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