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20242026
most citedColor Models in Image Processing: A Review and Experimental Comparison

7 citations · 11 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Perceptual Color Difference Modeling Using Machine Learning and Human Similarity Judgments

Elnara Kadyrgali, Muragul Muratbekova, Adilet Yerkin +6

Accurate assessment of color differences is essential for applications ranging from digital design to quality control. While existing color difference metrics, such as CIEDE2000, a…

cs.CV2026

Semantic Context Matters: Analysis of Color Names Across Domains

Adilet Yerkin, Elnara Kadyrgali, Malika Ziyada +5

Color naming is influenced not only by physical color values but also by the semantic context in which colors are used. This paper investigates context-dependent color naming by ma…

cs.CV2026

Not All Color Categories Are Equally Stable: A Multilingual Free Color Naming Experiment

Nuray Toganas, Adilet Yerkin, Elnara Kadyrgali +3

Color naming is an important part of human color perception. Its task is to allow people to describe continuous colors using discrete color categories. However, the boundaries betw…

cs.CV2025★ 7 cited

Color Models in Image Processing: A Review and Experimental Comparison

Muragul Muratbekova, Nuray Toganas, Ayan Igali +4

Color representation is essential in computer vision and human-computer interaction. There are multiple color models available. The choice of a suitable color model is critical for…

cs.CV2025

Fuzzy Theory in Computer Vision: A Review

Adilet Yerkin, Ayan Igali, Elnara Kadyrgali +4

Computer vision applications are omnipresent nowadays. The current paper explores the use of fuzzy logic in computer vision, stressing its role in handling uncertainty, noise, and…

cs.CV2025★ 2 cited

COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation

Pakizar Shamoi, Nuray Toganas, Muragul Muratbekova +7

Colors are omnipresent in today's world and play a vital role in how humans perceive and interact with their surroundings. However, it is challenging for computers to imitate human…

cs.HC2025★ 1 cited

Group Decision-Making System with Sentiment Analysis of Discussion Chat and Fuzzy Consensus Modeling

Adilet Yerkin, Pakizar Shamoi

Group Decision-Making (GDM) plays a crucial role in various real-life scenarios where individuals express their opinions in natural language rather than structured numerical values…

cs.AI2024

Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System

Adilet Yerkin, Pakizar Shamoi, Elnara Kadyrgali

In today's world, making decisions as a group is common, whether choosing a restaurant or deciding on a holiday destination. Group decision-making (GDM) systems play a crucial role…

cs.AI2024

Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems

Adilet Yerkin, Elnara Kadyrgali, Yerdauit Torekhan +1

Watching movies is one of the social activities typically done in groups. Emotion is the most vital factor that affects movie viewers' preferences. So, the emotional aspect of the…

cs.IR2024★ 1 cited

Group Movie Selection using Multi-channel Emotion Recognition

Elnara Kadyrgali, Adilet Yerkin, Yerdauit Torekhan +1

Social activities often done in groups include watching television or movies. Choosing a film that appeals to the emotional inclinations of a varied group can be tricky. One of the…