Computer-based neuro-vision system for color classification of french fries

1995 ◽  
Author(s):  
Suranjan Panigrahi ◽  
Dennis Wiesenborn
Keyword(s):  
Vision System ◽  
French Fries ◽  
Color Classification ◽  
Computer Based

Study on Color Classification of Pork with Computer Vision System Based on Different Color Difference Formula

2011 ◽  
Vol 474-476 ◽  
pp. 1638-1642 ◽  
Author(s):  
Hong Xia Zhao ◽  
Zhi Yang Luo ◽  
Xin Yuan ◽  
Yuan Li
Keyword(s):  
Computer Vision ◽  
Color Change ◽  
Vision System ◽  
Close Relation ◽  
Color Difference ◽  
Computer Vision System ◽  
Color Classification ◽  
Difference Formula ◽  
Different Color

The bad degree of meat and the color change have a close relation. Computer vision is not under the influence of physiological and psychological factor of person; Appraisement standard is objective and steady. Therefore, computer vision system has been established, which can do collection, management, display, and appraisement of porky color. The CIEL*a*b* and CIEDE2000 color difference formula were introduced into the classification of pork, the result was identical. Because the calculation course of CIEDE2000 color difference is complex, so the CIE1976L*a*b* color difference is still adopted to calculate color change at actual production.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Information Management System ◽  
Space Distribution ◽  
Color Classification ◽  
Uniform Sampling ◽  
Forecast Precision ◽  
Internal Instability ◽  
The Stability

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

Which way records management research?

2020 ◽  
Vol 39 (1) ◽  
pp. 29-45
Author(s):  
Omwoyo Bosire Onyancha
Keyword(s):  
Information Management ◽  
Health Sector ◽  
Records Management ◽  
Medical Computing ◽  
Research Areas ◽  
The Social ◽  
Computer Based ◽  
Scopus Database ◽  
Broad Subject

This paper evaluates the keywords and subject areas in records management (RM) publications, as indexed in the Scopus database, with a view to mapping RM research from 1971 to 2018 so as to determine the direction of research in the field. A total of 4 762 documents were obtained from the Scopus database using the term records management and searching within the title, abstract and keywords fields. The data was analysed using VOSviewer software. The findings reveal that interest in RM research has grown as the volume of publications has continued to increase. Whereas there was no dominant area of research in the 1980s, as far as RM research is concerned, the main focus in the 2010s was the management of electronic health records, thereby signalling a shift in RM research from being just an information management exercise to being used for the management of records in the medical and health sector. Other popular research areas in the 2010s were health care, electronic medical record/s, information management, medical computing, information systems, and electronic document exchange. A classification of the RM publications according to Scopus’s broad subject fields revealed that RM research is mainly conducted in computer science, engineering, medicine, and the social sciences. The study predicts a slow growth in the number of RM publications in the next ten years (2019-2028), greater focus on RM in the health sector, and continued dominance of computer-based systems and electronic records as topics of RM research.

scholarly journals Study and classification of the Crystallographic Orientation Distribution Function of a non-grain oriented electrical steel using computer vision system

2019 ◽  
Vol 8 (1) ◽  
pp. 1070-1083
Author(s):  
Roberto Fernandes Ivo ◽  
Douglas de Araújo Rodrigues ◽  
José Ciro dos Santos ◽  
Francisco Nélio Costa Freitas ◽  
Luis Flaávio Gaspar Herculano ◽  
...  
Keyword(s):  
Computer Vision ◽  
Distribution Function ◽  
Orientation Distribution Function ◽  
Crystallographic Orientation ◽  
Electrical Steel ◽  
Vision System ◽  
Orientation Distribution ◽  
Computer Vision System

A Vision System for Analysis and Classification of Industrial Flames

1990 ◽  
pp. 448-457
Author(s):  
J. P. Costeira ◽  
J. P. Fernandes ◽  
M. V. Heitor ◽  
J. Sentieiro ◽  
J. P. Simões ◽  
...  
Keyword(s):  
Vision System

scholarly journals Perancangan Sistem Informasi Penggajian Pegawai Berbasis Java di Sekolah Menengah Kejuruan Nusantara Wisata Respati

2018 ◽  
Vol 3 (2) ◽  
pp. 160
Author(s):  
Meri Chrismes Aruan ◽  
Luh Putu Widya Adnyani
Keyword(s):  
Middle School ◽  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Employee Creativity ◽  
Microsoft Excel ◽  
Computer Based ◽  
The Impact

The development and progress of IT-based information technology is very rapidly developing and has a very important role. Information systems are a necessity for agencies to utilize information as a basis for data administration and processing. To meet these needs, the agency conducts activities related to computer-based information systems as a tool to increase employee creativity. This system is designed to handle the transaction of escort and payment salary calculations and can guarantee validiity, complete authorization, classification of assessments, timeliness of each payroll transaction. In the Middle School Nusantara Wisata Respati Middle School still uses a manual payroll system, which is Microsoft Excel, so that people who are not authorized to enter and view data and can change the impact will disrupt the activity in processing salary data. For this reason, it is necessary to design a Java-based payroll information system at the Respati Archipelago Tourism Middle School.

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