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Journal articles on the topic 'Color extraction'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Yamauchi, Kenji, Naoki Akai, Ryutaro Unai, Kazumichi Inoue, and Koichi Ozaki. "Person Detection Method Based on Color Layout in Real World Robot Challenge 2013." Journal of Robotics and Mechatronics 26, no. 2 (2014): 151–57. http://dx.doi.org/10.20965/jrm.2014.p0151.

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In Real World Robot Challenge 2013, a mission was added that had robots search for a person wearing clothes featuring unique colors. We focus on the layout of such clothes with the aim of detecting persons wearing them by applying color extraction. Color extraction is improved by preprocessing of a clipping image from the robot’s vision and possibly extracting colors worn by target persons stably in natural light. Persons are detected by simply evaluating the layout of target colors. Our robots were equipped with person detection for this challenge and have detected all targeted persons. This

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Abdul-samad, Sarmad. "COLOR FEATURE WITH SPATIAL INFORMATION EXTRACTION METHODS FOR CBIR: A REVIEW." Iraqi Journal for Computers and Informatics 45, no. 1 (2019): 15–19. http://dx.doi.org/10.25195/ijci.v45i1.45.

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Inn then last two decades the Content Based Image Retrieval (CBIR) considered as one of the topic of interest for theresearchers. It depending one analysis of the image’s visual content which can be done by extracting the color, texture and shapefeatures. Therefore, feature extraction is one of the important steps in CBIR system for representing the image completely. Color featureis the most widely used and more reliable feature among the image visual features. This paper reviews different methods, namely LocalColor Histogram, Color Correlogram, Row sum and Column sum and Colors Coherences Vec

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Tamaki, Emi, and Naruaki Toma. "Color system for skin color extraction." Artificial Life and Robotics 12, no. 1-2 (2008): 210–13. http://dx.doi.org/10.1007/s10015-007-0469-1.

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Zhuang, Yi, and Chenyi Guo. "City Architectural Color Recognition Based on Deep Learning and Pattern Recognition." Applied Sciences 13, no. 20 (2023): 11575. http://dx.doi.org/10.3390/app132011575.

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The collection of information about buildings and their colors is an important aspect of urban planning. The intelligent recognition of buildings using image information plays a significant role in the development of smart cities and urban planning. This thesis proposes a building color-recognition technique based on morphological features utilizing convolutional neural networks and the K-means clustering algorithm of image-recognition technology. The proposed method can identify buildings in images and classify them into two categories, buildings and panoramas, for color extraction and matchi

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Liu, Shiguang, Yaxi Jiang, and Huarong Luo. "Attention-aware color theme extraction for fabric images." Textile Research Journal 88, no. 5 (2016): 552–65. http://dx.doi.org/10.1177/0040517516685278.

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Color configuration plays an important role in art, design, and communication, which can influence the user’s experiences, feelings, and psychological well-being. It is laborious to manually select a color theme from scratch for handling large batches of images. Alternatively, it can inspire designers’ creations and save their time as well by leveraging the color themes in existing art works (e.g. fabric, paintings). However, it is challenging to automatically extract perceptually plausible color themes from fabric images. This paper presents a new automatic framework for extracting color them

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Dandu, Ravi, Jayakameshwaraiah, and Y. B. Ravi Kumar. "DEEP CONVOLUTIONAL NEURAL STRATEGY FOR DETECTION AND PREDICTION OF MELANOMA SKIN CANCER." Biomedical Engineering: Applications, Basis and Communications 33, no. 01 (2021): 2050045. http://dx.doi.org/10.4015/s1016237220500453.

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The research work has focused on detection and prediction of melanoma which is done by subjecting to features extraction, where the features of an image consisting of melanoma regions are detected by analysis and this analysis is done by considering the features like color and texture-based features learning strategy. These features are extracted by combining color and texture-based features extraction with deep convolutional features representation learning strategy. The colors of images are extracted by representing the colors of different channels into red, green and blue channel informatio

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Wang, Xiaohui, Jingyan Qin, and Yujiao Gao. "Artistic Coloring: Color Transfer from Painting." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 07 (2016): 1654005. http://dx.doi.org/10.1142/s0218001416540057.

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Color transfer is to alter an image’s color composition by reference to the color characteristics of another image. In this paper, we build a system called artistic coloring that realizes automatic color transfer from famous paintings. It properly extracts the wonderful color characteristics of famous paintings and applies them to color transfer. Specially, we investigate the traditional color theme extraction methods and find their deficiencies. Based on this, we quantify the processing of human painting to find the main colors in the color palette and propose an artistic balanced color theme

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DE BONI, Luis Alcies B. "COMPARATIVE STUDY OF ALCOHOLIC EXTRACTION OF COMPOUNDS FROM ARAUCARIA ANGUSTIFOLIA: MICROWAVE-ASSISTED EXTRACTION VS. MACERATION EXTRACTION." SOUTHERN JOURNAL OF SCIENCES 31, no. 35 (2023): 68–74. http://dx.doi.org/10.48141/sjs.07_deboni_pgs_68_74.pdf.

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Background: The Araucaria angustifolia is a prominent tree species indigenous to the southern regions of Brazil. The tree can be a source of different compounds of interest if properly used. Aims: This research aims to compare the alcoholic extraction of compounds from Araucaria angustifolia using two different methods, microwave-assisted extraction and maceration extraction. Methods: Alcahoolic extractions of compounds from the sawdust of Araucaria angustifolia were performed using microwave-assisted extraction and maceration extraction. The color was observed by eye inspection. The taste was

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Bridglall, Preesha Avadianund, Mark D. Laing, Nuveshen Naidoo, and Richard J. Burgdorf. "A Novel Laboratory Method for the Extraction of Black Wattle (Acacia Mearnsii De Wild.) Bark Constituents." Journal of the American Leather Chemists Association 120, no. 01 (2025): 26–41. https://doi.org/10.34314/a4hc2y39.

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Tannins are the major extractable component of black wattle (Acacia Mearnsii de Wild) bark. In a wattle factory, extracted tannin levels are one of several quality parameters (Extraction efficiency and insoluble content are some of the other parameters) that are monitored, typically using a modified Soxhlet/ reflux extraction method. However, this method is slow and laborious, and the extracted product is unsuitable for tannin color analysis, which is another important product quality parameter. A new method was then developed, aiming to measure both the conventional bark parameters as well as

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Chen, Yuyilan, Yuqian Dai, Li Li, Chenqu Ma, and Xiaogang Liu. "A Graph-Based Representation Method for Fashion Color." Applied Sciences 12, no. 13 (2022): 6742. http://dx.doi.org/10.3390/app12136742.

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Fashion color research takes the color information of fashion apparel as the major focus for further studies, such as style categorization or trend prediction. However, the colors in apparel are treated as isolated elements from each other, disregarding the fact that not only the attributes of each color itself but also the collocation relationship of the colors in apparel are important color factors. To provide a more comprehensive abstraction of the information from the fashion colors as well as emulating the human cognition of fashion colors, in this paper, we are the first to propose a kno

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Puja Dipak Saraf. "Serial Fusion based Hybrid Features Extraction Method for Tomato Plant Leaf Disease Detection." Journal of Information Systems Engineering and Management 10, no. 6s (2025): 545–54. https://doi.org/10.52783/jisem.v10i6s.753.

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Detecting and classifying leaf diseases at an early stage is crucial. However, many current approaches have struggled to achieve the necessary accuracy due to several challenges. These challenges include dealing with input images that have low contrast, irregularities in leaf spots, minimal color differences between foreground and background, and the need to handle a large number of extracted features. To address these issues, we have explored feature extraction techniques based on color, shape, and texture, each with its own advantages and disadvantages. We have conducted experiments on color

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Tan, Cong, and Shaoyu Yang. "Automatic Extraction of Color Features from Landscape Images Based on Image Processing." Traitement du Signal 38, no. 3 (2021): 747–55. http://dx.doi.org/10.18280/ts.380322.

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The dominant color features determine the presentation effect and visual experience of landscapes. The existing studies rarely quantify the application effect of landscape colors through image colorization. Besides, it is unreasonable to analyze landscape images with multiple standard colors with a single color space. To solve the problem, this paper proposes an automatic extraction method for color features from landscape images based on image processing. Firstly, a landscape lighting model was constructed based on color constancy theories, and the quality of landscape images was improved wit

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Ren, Peng, Genlin Zhao, and Yongjun Liu. "Adaptive Video Caption Detection and Extraction Method Based on Color Filtering Principle." Mobile Information Systems 2021 (December 13, 2021): 1–8. http://dx.doi.org/10.1155/2021/7376572.

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Based on the principle of color (RGB) filtering, an improved adaptive video caption detection and extraction method is proposed. Firstly, the principle of the color filtering algorithm used in the video caption detection and extraction method is analyzed, and then the algorithm is improved adaptively according to the caption pixel size to filter the noise. Finally, experiments verify the effect of this method in extracting subtitles from video. The experimental results show that the accuracy of detecting and extracting subtitles in color video is as high as 99.3%.

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Ji, Jiang Tao, Ming Li Deng, Zhi Tao He, et al. "Extraction of Tobacco Leaves Color Features Based on HSI Color Space." Applied Mechanics and Materials 651-653 (September 2014): 2424–29. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2424.

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Tobacco is widely planted worldwide as an important economic crop. The differences of planting environment and growth status in different regions lead to different levels of tobacco quality, while color is one of the important indexes to evaluate the quality grade of tobacco leaves. Even for those that are planted in the same area, colors of different grades of tobacco leaves vary greatly, so the color of tobacco leaves is often used as the main evaluating index in tobacco leaves grading. In this paper color extraction of standard tobacco leaves based on HSI color space was thoroughly studied.

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Lu, Xinjie, and Youngsook Lee. "Color Extraction and Design Application of Yao Embroidery Based on K-means Algorithm." Korea Institute of Design Research Society 9, no. 3 (2024): 69–84. http://dx.doi.org/10.46248/kidrs.2024.3.69.

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To promote the digital preservation and transmission of traditional cultural elements, this study focuses on Yao embroidery as a case study, combining digital technologies and algorithms to extract and analyze its color characteristics. These extracted color features were applied to the design of virtual character clothing. First, a bilateral filtering algorithm was used to preprocess the images of Yao embroidery, reducing noise while preserving intricate details. Subsequently, Euclidean distance was calculated in the Lab color space, and the OSTU adaptive binarization method was employed to s

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Fedorov, E. E., O. L. Khramova-Baranova, T. Y. Utkina, Ya M. Kozhushko, and I. O. Nesen. "THE INTELLECTUAL ANALYSIS METHOD OF COLOR IMAGES." Radio Electronics, Computer Science, Control, no. 2 (June 29, 2025): 45–55. https://doi.org/10.15588/1607-3274-2025-2-4.

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Context. Automatic and automated image analysis methods used in computer graphic design, biometric identification, and military target search are now widespread. The object of the research is the process of color image analysis.Objective. The goal of the work is to create an intelligent method of image analysis based on quantization, binarization and clustering.Method. The proposed method for intelligent color image analysis consists of the following techniques. The technique of reducing the number of colors based on the conversion of a color image into a gray-scale image and quantization of t

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Et.al, Eunchong Ha. "Color Interactive Contents System using Kinect Camera Calibration." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 786–91. http://dx.doi.org/10.17762/turcomat.v12i6.2096.

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Recently, media content that interacts in real time is increasing. In this paper, we introduce a real-time color extraction content system that utilizes the Kinect camera used in ‘COLOR’ media art. The Kinect camera used in the work detects and tracks the joints of the visitors that enter the exhibition space. Kinect detected data is mapped to color calibration in a Unity environment to generate a point cloud video. Get the pixel color of the spine shoulder joint coordinates of the visitor in the point cloud image. The color data is output on the screen in the form of color one, and passes thr

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Liang, Tao, Zhizhong Xiao, and Lingzi Guo. "A Deep Learning Model-Based Feature Extraction Method for Architectural Space and Color Connection in Interior Design." Scalable Computing: Practice and Experience 25, no. 4 (2024): 2948–59. http://dx.doi.org/10.12694/scpe.v25i4.2896.

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In architectural interior design, color is one of the important design elements. Through the reasonable combination of various color elements, it can effectively improve the interior environment and create an atmosphere that meets the preferences and needs of users. And with the continuous development of social economy, the application of color in interior design is becoming more and more widespread. Using different colors in interior design to harmonize not only can relieve people’s visual fatigue, but also can bring people a pleasant mood. Different colors have different meanings, therefore,

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Mao, Fangyi, Pengcheng Zhao, and Zhe Zhu. "Construction of Characteristic Town Brand Color Systems: Color Extraction Based on Regional Landscape Architecture." E3S Web of Conferences 236 (2021): 03037. http://dx.doi.org/10.1051/e3sconf/202123603037.

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The brand image design of characteristic towns already becomes the way to improve awareness and promote propaganda in many characteristic towns. However, during the brand color system construction of characteristic towns, the differences in natural geography and cultural landscape have resulted in universal differentiation of characteristic towns, but the brand color constructions are very similar and lack scientific basis or differences, and even deviate from the original intention of town brand building. Given the difficulty in the brand color system development of characteristic towns, we p

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Yao, Wenting, and Mishal Sohail. "Design of Artistic Creation Style Extraction Model Based on Color Feature Data." Mathematical Problems in Engineering 2022 (January 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/4811191.

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In order to improve the style extraction and extraction ability of works of art, a color extraction method based on color features is proposed. The color feature extraction method is used to extract the style of visual works of art. The color feature region of works of art is segmented combined with a sparse scattered point reorganization method. Texture tracking and matching method is used for information fusion of works of art, combined with corner detection, three-dimensional edge contour feature detection method to realize texture filling and automatic rendering of art color extraction to

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Xiaoguang Shao, Xiaoguang Shao, Kun Gao Kun Gao, Lili Lv Lili Lv, and Guoqiang Ni Guoqiang Ni. "Unsupervised regions of interest extraction for color image compression." Chinese Optics Letters 10, no. 1 (2012): 011001–11004. http://dx.doi.org/10.3788/col201210.011001.

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Yamauchi, Kenji, Naoki Akai, and Koichi Ozaki. "Color Extraction Using Multiple Photographs Taken with Different Exposure Time in RWRC." Journal of Robotics and Mechatronics 27, no. 4 (2015): 365–73. http://dx.doi.org/10.20965/jrm.2015.p0365.

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<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/06.jpg"" width=""450"" />Color extraction rsult in RWRC</div> Extracting the color of a target object from images in environments with different illumination conditions, such as outdoors, is difficult because color performance changes easily. The novel color extraction we propose enables the exact color of a target object to be extracted using multiple photographs taken with different exposure times. The object’s color performance transits due to changes in exposure time. This transition is the sa

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Kynash, Yurii, and Mariia Semeniv. "New Approach to Dominant and Prominent Color Extraction in Images with a Wide Range of Hues." Technologies 13, no. 6 (2025): 230. https://doi.org/10.3390/technologies13060230.

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Dominant colors significantly influence visual image perception and are widely used in computer vision and design. Traditional extraction methods often neglect visually salient colors that occupy small areas yet possess high aesthetic relevance. This study introduces a method for detecting both dominant and visually prominent colors in a wide range of hues and images. We analyzed the color gamut of images in the CIE L*a*b* color space and concluded that it is difficult to identify the dominant and prominent colors due to high color variability. To address these challenges, the proposed approac

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Zhang, Tianyi, Chenhao Qin, Weibin Li, et al. "Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data." Remote Sensing 15, no. 19 (2023): 4697. http://dx.doi.org/10.3390/rs15194697.

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In the era of big data, making full use of remote sensing images to automatically extract surface water bodies (WBs) in complex environments is extremely challenging. Due to the weak capability of existing algorithms in extracting small WBs and WB edge information from remote sensing images, we proposed a new method—Multiscale Fusion SegFormer (MF-SegFormer)—for WB extraction in the Weihe River Basin of China using Landsat 8 OLI images. The MF-SegFormer method adopts a cascading approach to fuse features output by the SegFormer encoder at multiple scales. A feature fusion (FF) module is propos

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Pratiwi, Dyah, Lussiana E T P, and Sarifuddin Madenda. "Image Color Extraction of Forest." International Journal of Computer Applications 64, no. 9 (2013): 13–16. http://dx.doi.org/10.5120/10661-5430.

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Hase, Hiroyuki, Masaaki Yoneda, Shogo Tokai, Jien Kato, and Ching Y. Suen. "Color segmentation for text extraction." International Journal on Document Analysis and Recognition 6, no. 4 (2003): 271–84. http://dx.doi.org/10.1007/s10032-003-0119-7.

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Liu, Shiguang, and Huarong Luo. "Hierarchical emotional color theme extraction." Color Research & Application 41, no. 5 (2015): 513–22. http://dx.doi.org/10.1002/col.21988.

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Efendi, Ayu Mahriza Agustin, Sriani Sriani, and Muhammad Siddik Hasibuan. "Classification of Watermelon Ripeness Levels Using HSV Color Space Transformation and K-Nearest Neighbor Method." Journal of Computer Networks, Architecture and High Performance Computing 6, no. 3 (2024): 934–48. http://dx.doi.org/10.47709/cnahpc.v6i3.3999.

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Watermelons had high appeal due to their sweet taste, refreshing nature, and numerous benefits. However, consumers often faced difficulties in selecting suitable fruit because of the subtle differences between fully ripe and half-ripe watermelons. One important indicator of a watermelon’s ripeness was the yellowish pattern on its skin. In this study, the proposed use of digital image processing methods, specifically the HSV Color Space Transformation, was aimed at extracting watermelon images and employing the K-Nearest Neighbor (K-NN) method to classify them into two categories: "Ripe" and "H

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Chen, Wei-Ta, Wei-Chuan Liu, and Ming-Syan Chen. "Adaptive Color Feature Extraction Based on Image Color Distributions." IEEE Transactions on Image Processing 19, no. 8 (2010): 2005–16. http://dx.doi.org/10.1109/tip.2010.2051753.

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YANG, HUA, MASAAKI KASHIMURA, NORIKADU ONDA, and SHINJI OZAWA. "EXTRACTION OF BIBLIOGRAPHY INFORMATION BASED ON IMAGE OF BOOK COVER." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 07 (2000): 963–78. http://dx.doi.org/10.1142/s0218001400000611.

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This paper describes a new system for extracting and classifying bibliography regions from the color image of a book cover. The system consists of three major components: preprocessing, color space segmentation and text region extraction and classification. Preprocessing extracts the edge lines of the book and geometrically corrects and segments the input image, into the parts of front cover, spine and back cover. The same as all color image processing researches, the segmentation of color space is an essential and important step here. Instead of RGB color space, HSI color space is used in thi

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Özsavaş Uluçay, Nilay. "Determination of Color Preferences and Trend Colors in Hotel Room Interior Design." Journal of Architectural/Planning Research and Studies (JARS) 22, no. 1 (2024): 268719. http://dx.doi.org/10.56261/jars.v22.268719.

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Buildings and environmental colors create differences in perception, both psychologically and physically. Colors interact with and have an impact on the form, space components, surroundings, materials textures, space lighting, the size of the surfaces, and the function and aesthetics of the space. Color preference varies according to personality traits, age and gender, habits and experiences, fashion, and style. The research is aimed to determine the color preferences and trends in hotel interior designs. Many hotel projects are designed and completed throughout the world every year. In this c

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Jaffer, Mehwish, Shabnum Shaheen, Hammad Ashraf, and Uzma Hanif. "Green vegetation: a promising source of color dyes." Green Processing and Synthesis 8, no. 1 (2019): 215–22. http://dx.doi.org/10.1515/gps-2018-0071.

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Abstract The present study aimed for the extraction of color dyes from different sources, such as Brassica oleracea, Brassica campestris, Citrus limon, Citrus limetta, Tagetes erecta, Spinacea oleracea, Beta vulgaris, Rosa indica and Curcuma longa. The leftovers of such plants were mainly used for color dye extraction and their confirmation using spectrophotometric analysis. The specific color pigments like carotenoids, anthocyanin, chlorophyll and betanin were found to be the main coloring agents that impart specific color to the samples. Among all these samples, the maximum yield was obtaine

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Pakzad, Zahra. "Color Structure in the Persian Painting." Review of European Studies 9, no. 1 (2016): 1. http://dx.doi.org/10.5539/res.v9n1p1.

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Written manuscripts and literary treatises are among the most important documents of knowledge on traditional color production techniques related to painting, and as they have survived thanks to desirable maintenance and preservation from the ancient times to the present time, they can be good sources for identifying and extracting traditional color production methods related to paining. Especially, the illustrated books simultaneously with their writing are an evidence of the contents presented in those manuscripts and treatises. Therefore, by an aim to identify and revive traditional color p

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NGUYEN, VAN HUAN, and HAKIL KIM. "ROBUST EYE FEATURE EXTRACTION FROM FACIAL COLOR IMAGE USING IRIS COLOR COMPENSATION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 01 (2012): 1256004. http://dx.doi.org/10.1142/s0218001412560046.

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This paper presents a novel method of robust eye feature extraction from facial color images by considering the variety of iris colors. Given an eye window containing a single eye, the proposed method assesses the iris color tone based on the difference images between the red and the green channels and the red and the blue channels. A weighted scaling compensation method is then proposed for increasing the separability and homogeneity of the iris region. The extraction of the eye features is performed by an unsupervised K-means clustering on the compensated feature spaces. The eye corners are

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Mumthas, Manaf.* &. Baburaj. "SURVEYON CONTENT BASED IMAGE RETRIEVAL TECHNIQUES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 4 (2019): 86–90. https://doi.org/10.5281/zenodo.2631165.

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Goal of content-based image retrieval is to retrieve relevant images from the large collection of databases on the basis of their own visual content. Content-based image retrieval performs basic function is the feature extraction. Shape alone are not sufficient to recognize the content of the image with high accuracy so we use another information such as color or texture. In this paper we discuss several color feature extraction techniques and shape feature extraction techniques.

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Kurniasari, Arvita Agus, Ali Ridho Barakbah, and Achmad Basuki. "Content-Dependent Image Search System for Aggregation of Color, Shape and Texture Features." EMITTER International Journal of Engineering Technology 7, no. 1 (2019): 223–42. http://dx.doi.org/10.24003/emitter.v7i1.361.

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The existing image search system often faces difficulty to find a appropriate retrieved image corresponding to an image query. The difficulty is commonly caused by that the usersâ€™ intention for searching image is different with dominant information of the image collected from feature extraction. In this paper we present a new approach for content-dependent image search system. The system utilizes information of color distribution inside an image and detects a cloud of clustered colors as something - supposed as an object. We applies segmentation of image as content-dependent process before f

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Zhang, Yangyang, Pohsun Wang, Wei Wei, and Zhen Wang. "How to Construct an Urban Color System? Taking the Historic Center of Macau as an Example." Buildings 14, no. 9 (2024): 2874. http://dx.doi.org/10.3390/buildings14092874.

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This study focuses on the environmental colors of the Historic Center of Macau, seeking pathways to develop an urban color system to construct a high-quality urban aesthetic environment and enhance the overall visual image of the city. Based on Lenclos’s color geography and Shingo Yoshida’s environmental color planning method, this study conducted on-site color measurement, extraction, photographic documentation, numerical analysis, and color cataloging of the architecture, plazas, landscapes, and primary public facilities in Macau’s historical district. Through comprehensive environmental col

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Pranoto, Yuliana. "Generating Mosaic Image Using Color Feature Extraction for Content Based Image Retrieval." Jurnal Inovasi Teknologi dan Edukasi Teknik 1, no. 9 (2021): 685–91. http://dx.doi.org/10.17977/um068v1i92021p685-691.

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This research aims to create an image mosaic from a collection of images by utilizing color feature extraction with CBIR (Content Based Image Retrieval) technique. Some of the things to be considered in CBIR are the selection of the color model, how to represent color features, and metrics for calculating the distance between color features. The system consists of two main parts, preprocessing and image mosaic generating. In the preprocessing stage, image quantization is performed on images in the dataset, then the results are saved to a file that will be used in the image mosaic generating st

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Shin, Seunh-Yoon. "Establishment of emotional database and extraction of color psychology of children from images." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 210. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp210-216.

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<p>In the modern society, there is a rapid increase in the need for color psychotherapy for psychological stability and environmental adaption of children for whom the interests of the parents are lacking in the midst of their busy daily schedules. Accordingly, we need to assess the emotional state of children through their drawings, etc. In this thesis, identification is made on color harmony by utilizing information of single and mixed colors in the color image space. Moreover, system for extraction of color psychology from the drawings of children is developed. First, emotional databa

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Shin, Seong-Yoon. "Establishment of emotional database and extraction of color psychology of children from images." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 210–16. https://doi.org/10.11591/ijeecs.v13.i1.pp210-216.

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In the modern society, there is a rapid increase in the need for color psychotherapy for psychological stability and environmental adaption of children for whom the interests of the parents are lacking in the midst of their busy daily schedules. Accordingly, we need to assess the emotional state of children through their drawings, etc. In this thesis, identification is made on color harmony by utilizing information of single and mixed colors in the color image space. Moreover, system for extraction of color psychology from the drawings of children is developed. First, emotional database is est

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Tian, Li. "Analysis of Chinese Painting Color Teaching Based on Intelligent Image Color Processing Technology in the Network as a Green Environment." Journal of Environmental and Public Health 2022 (June 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/8303496.

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This work was conducted to study the Chinese painting color teaching analysis of intelligent image color processing technology under the network environment. First, the paper preprocesses the obtained color mural images, realizes the automatic recognition and marking of the images with different defect degrees and color fading, and uses denoising and texture background elimination to remove unnecessary background information. Then, according to the characteristic that the repair order of boundary points in the Criminisi algorithm is determined by the size of priority weight, the data items and

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王民, 王民, 王静王静, 张立材张立材, and 张鑫张鑫. "Block Color Feature Extraction Algorithm Based on Mixed Color Space." Laser & Optoelectronics Progress 55, no. 1 (2018): 011009. http://dx.doi.org/10.3788/lop55.011009.

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Jing, Xiao Yuan, Kun Li, Song Song Wu, Yong Fang Yao, and Chao Wang. "Kernel Feature Extraction Approach for Color Image Recognition." Advanced Materials Research 760-762 (September 2013): 1621–26. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1621.

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Color Image Recognition is one of the most important fields in Pattern Recognition. Both Multi-set canonical correlation analysis and Kernel method are important techniques in the field of color image recognition. In this paper, we combine the two methods and propose one novel color image recognition approach: color image kernel canonical correlation analysis (CIKCCA). Color image kernel canonical correlation analysis is based on the theory of multi-set canonical correlation analysis and extracts canonical correlation features among the color image components. Then fuse the features of the col

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Chen, Yu, Bang Gui He, and Wen Juan Gu. "Research on the Algorithm of Defect Feature Extraction in Trademark Printing." Applied Mechanics and Materials 731 (January 2015): 205–9. http://dx.doi.org/10.4028/www.scientific.net/amm.731.205.

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A defect feature extraction algorithm which depends on the separation and subtraction of color image and mathematical morphology is proposed in this paper, based on the defects in trademark printing processes, such as smudges, pin holes, misprints, misting etc. The difference images of each monochrome are operated with morphology methods and then the defect information of high precision printing processes in colorful trademark, such as shape, boundary contour, quantity, size and location etc, are extracted and recognized with suitable structure elements. The defect extraction algorithm is prog

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Pham Thi, Hong Phuong. "OPTIMIZATION OF THE AQUEOUS EXTRACT PROCESS FROM MANGOSTEEN PEEL FOR DYEING SILK." Vietnam Journal of Science and Technology 54, no. 4B (2018): 94. http://dx.doi.org/10.15625/2525-2518/54/4b/12029.

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This research studied the juice extraction process from mangosteen peel with water solvent and the paramesters influencing on extraction process such as extraction temperature, extraction time and extraction ratio, and evaluating the juice of extract by determining extraction efficiency, color saturation of fabric and color fastness of silk fabric. The research results showed that the juice extracted from mangosteen peel can be used to dye silk fabric with high color strength and fastness. And the results of research will bring the efficiency of environmental, economy and society; and will mee

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Wang, Hang. "Text extraction from color map images." Journal of Electronic Imaging 3, no. 4 (1994): 390. http://dx.doi.org/10.1117/12.184152.

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Strouthopoulos, C., N. Papamarkos, and A. E. Atsalakis. "Text extraction in complex color documents." Pattern Recognition 35, no. 8 (2002): 1743–58. http://dx.doi.org/10.1016/s0031-3203(01)00167-4.

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Chaira, Tamalika, and A. K. Ray. "Fuzzy approach for color region extraction." Pattern Recognition Letters 24, no. 12 (2003): 1943–50. http://dx.doi.org/10.1016/s0167-8655(03)00033-3.

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Hase, Hiroyuki, Toshiyuki Shinokawa, Masaaki Yoneda, and Ching Y. Suen. "Character string extraction from color documents." Pattern Recognition 34, no. 7 (2001): 1349–65. http://dx.doi.org/10.1016/s0031-3203(00)00081-9.

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Anguiano-Morales, Marcelino, E. Noé Arias, G. Garnica, and A. Martínez. "Image fusion by color texture extraction." Optik 125, no. 2 (2014): 810–12. http://dx.doi.org/10.1016/j.ijleo.2013.07.075.

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