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Paper

Computer vision system approach in colour measurements of foods: Part I. development of methodology

by Independent / Community 009e7c3557a8ff53e3264899a8fa8d6db40aaa89

Free2AITools Nexus Index

66.5

S: Semantic 50

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A: Authority 78

P: Popularity 53

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

The colour assessment ability of the computer vision system is investigated and the data are compared with colour measurements taken by a conventional colorimeter. Linear and quadratic models are built to improve currently used methodology for the conversion of RGB colour units to L * a * b * colour space. For this purpose, two innovative ideas are proposed and tested. First, substantial amount of colour tones is generated to cover as many points in the colour space as possible. Secondly, the...

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Semantic Scholar 15 Citations

Paper Information Summary
Entity Passport
Registry ID	009e7c3557a8ff53e3264899a8fa8d6db40aaa89
License	ArXiv
Provider	semantic_scholar

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Academic & Research Attribution

BibTeX

@misc{009e7c3557a8ff53e3264899a8fa8d6db40aaa89,
  author = {Unknown},
  title = {Computer vision system approach in colour measurements of foods: Part I. development of methodology Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/009e7c3557a8ff53e3264899a8fa8d6db40aaa89}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Computer vision system approach in colour measurements of foods: Part I. development of methodology [Paper]. Free2AITools. https://api.semanticscholar.org/009e7c3557a8ff53e3264899a8fa8d6db40aaa89

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⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 78

Popularity (P) 53

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Computer vision system approach in colour measurements of foods: Part I. development of methodology: Authority (A:78), Popularity (P:53), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"The colour assessment ability of the computer vision system is investigated and the data are compared with colour measurements taken by a conventional colorimeter. Linear and quadratic models are built to improve currently used methodology for the conversion of RGB colour units to L * a * b * colour space. For this purpose, two innovative ideas are proposed and tested. First, substantial amount of colour tones is generated to cover as many points in the colour space as possible. Secondly, the..."

❝ Cite Node

@article{Unknown2026Computer,
  title={Computer vision system approach in colour measurements of foods: Part I. development of methodology},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈15CitationsSemantic Scholar

🏛️78AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️vision multimediaField

🏷️ Research Topics

vision models

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 15

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