• Title, Summary, Keyword: Color recognition

Search Result 848, Processing Time 0.057 seconds

Color Pattern Recognition with Recombined Single Input Channel Joint Transform Correlator

  • Jeong, Man-Ho
    • Journal of the Optical Society of Korea
    • /
    • v.15 no.2
    • /
    • pp.140-145
    • /
    • 2011
  • Joint transform correlator (JTC) is a well known tool for color pattern recognition for a color image. Color images have red, green and blue components, thus in conventional JTC, three input channels of these color components are necessary for color pattern recognition. This paper proposes a new technique of color pattern recognition by decomposing the color image into three color components and recombining those components into a single gray image in the input plane. This new technique needs single input channel and single output CCD camera, thus a simple JTC can be used. We present various kinds of simulated results to show that our newly proposed technique can accurately recognize and discriminate color differences.

Recognition of Resistor Color Band Using a Color Segmentation in a HSI Color Model (HSI 색상 모델에서 색상 분할을 이용한 저항 색상 밴드 인식)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
    • /
    • v.18 no.2
    • /
    • pp.67-72
    • /
    • 2019
  • This paper proposes a new method for the recognition of resistor color band using a color segmentation in a HSI color model. The proposed method firstly segments a resistor in a chromatic color as a ROI from a background. Secondly, the color bands of the resistor are segmented by vertical projection profile using both the intensity and the saturation differentiation and finally, it recognizes the colors of the segmented color bands using hue, saturation and intensity values. The final results are the value of the resistor and the names of the recognized color. The proposed method is implemented using C language in Raspberry Pi system with a camera module for a real-time image processing. Experiments were conducted by using various resistor images. The results show that the proposed method is successful for the recognition of resistor color band.

A Comparative Study of Recognition Rate of Color QR Code Printed on Tyvek and Cotton Material

  • Park, Suhrin
    • Journal of Fashion Business
    • /
    • v.21 no.3
    • /
    • pp.14-28
    • /
    • 2017
  • This purpose of this study to analyze effect material properties have on change in QR code recognition rate according to change of materials by comparing recognition rate of color QR code. QR code applied to textile materials has the advantage of being washable and being applicable to lost child prevention goods or clothes or a person with dementia through record of information relating to the material or input of additional information, differently from QR code printed on the conventional paper. An effective method of entering QR code in textile materials is Digital Textile Printing(DTP), that facilitates printing by rapidly applying diverse information, and small quantity production. It is possible to tailor various QR codes according to use. Regarding samples to use, cotton material used in clothing products and Tyvek material recently applied to clothing and related products were selected. Reactive dyes were used for cotton, pigment was used for Tyvek, and QR code was printed with an inkjet printer by direct printing method. Printing methods and surface textures are different between cotton and Tyvek. It was revealed that consequent print results and results of recognition rate were different. Regarding color to be printed, 2015 S/S - 2017 S/S color presented by Pantone was used. Color combination affected recognition rate of color QR code. Understanding color combination, material properties and print characteristics may be helpful in increasing recognition rate of color QR code, and may contribute to usability of color QR code applied to textile materials in the future.

Object Recognition by Pyramid Matching of Color Cooccurrence Histogram (컬러 동시발생 히스토그램의 피라미드 매칭에 의한 물체 인식)

  • Bang, H.B.;Lee, S.H.;Suh, I.H.;Park, M.K.;Kim, S.H.;Hong, S.K.
    • Proceedings of the KIEE Conference
    • /
    • /
    • pp.304-306
    • /
    • 2007
  • Methods of Object recognition from camera image are to compare features of color. edge or pattern with model in a general way. SIFT(scale-invariant feature transform) has good performance but that has high complexity of computation. Using simple color histogram has low complexity. but low performance. In this paper we represent a model as a color cooccurrence histogram. and we improve performance using pyramid matching. The color cooccurrence histogram keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color cooccurrence histogram adds geometric information to the normal color histogram. We suggest object recognition by pyramid matching of color cooccurrence histogram.

  • PDF

Robot vision system for face recognition using fuzzy inference from color-image (로봇의 시각시스템을 위한 칼라영상에서 퍼지추론을 이용한 얼굴인식)

  • Lee, Joo-shin
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.7 no.2
    • /
    • pp.106-110
    • /
    • 2014
  • This paper proposed the face recognition method which can be effectively applied to the robot's vision system. The proposed algorithm is recognition using hue extraction and feature point. hue extraction was using difference of skin color, pupil color, lips color. Features information were extraction from eye, nose and mouth using feature parameters of the difference between the feature point, distance ratio, angle, area. Feature parameters fuzzified data with the data generated by membership function, then evaluate the degree of similarity was the face recognition. The result of experiment are conducted with frontal color images of face as input images the received recognition rate of 96%.

An Analysis of Fashion Color Preferences According to Koreans' Personal Color Types (한국인의 개인색채 유형에 따른 패션색채 기호의 분석)

  • Jo, Eun-Young;Yoo, Tai-Soon
    • Journal of the Korean Society of Costume
    • /
    • v.58 no.10
    • /
    • pp.37-51
    • /
    • 2008
  • The purpose of this study is according to four Seasonal Color system, the researcher analyzed the Korean Personal color and investigated abstract color preferences and the fashion color preferences to support the Korean color preferences and the rotor recognition trend. The study was conducted according to the following procedures: 144 women from 20s to 50s were selected as participants of the survey and the interview. The fashion color preferences and the personal body color was analyzed by the questionnaire and the interview. The data were analyzed by SPSS 12.0 program. As a way of analysis, crosstabs analysis, correlation analysis, t-test, ANOVA and regression analysis were used. As a results, in the Personal color type of Korean women, it is distributed in the order of spring, summer, winter and autumn. In addition, Light image is highly distributed in the Personal color image. People preferred summer color group in the general color preference and the cosmetic color preference and they preferred winter color type in the clothes color and the suitable color for themselves. In the color recognition, as the color interest increases, the coincidence between suitable color and favorite color increased. The recognition of suitable color, the consideration of color in purchasing and the interest of outward appearances were highly showed.

Face Recognition System for Multimedia Application (멀티미디어 응용을 위한 얼굴 인식시스템)

  • Park, Sang-Gyou;Seong, Hyeon-Kyeong;Han, Young-Hwan
    • Journal of IKEEE
    • /
    • v.6 no.2
    • /
    • pp.152-160
    • /
    • 2002
  • This paper is the realization of the face recognition system for multimedia application. This system is focused on the design concerning the improvement of recognition rate and the reduction of processing time for face recognition. The non-modificated application of typical RGB color system enables the reduction of time required for color system transform. The neural network and the application of algorithm using face characteristic improves the recognition rate. After mosaicking an image, a face-color block has been selected through the color analysis of mosaic block. The characteristic of the face removes the mis-checked face-color candidate block. Finally, from the face color block, four special values are obtained. These values are processed to the neural network using the back propagation algorithm. The output values are the touchstone to decide the genuineness of face field. The realized system showed 90% of face recognition rate with less than 0.1 second of processing time. This result can be understood as sufficient processing time and recognition rate to find out the face block for multimedia application in dynamic image.

  • PDF

Illumination-Robust Load Lane Color Recognition based on S-color Space (조명변화에 강인한 S-색상공간 기반의 차선색상 판별 방법)

  • Baek, Seung-Hae;Jin, Yan;Lee, Geun-Mo;Park, Soon-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.22 no.3
    • /
    • pp.434-442
    • /
    • 2018
  • In this paper, we propose a road lane color recognition method from the image obtained from a driving vehicle. In autonomous vehicle techniques, lane information becomes more important as the level of autonomous driving such as lane departure warning and dynamic lane keeping assistance is increased. In particular the lane color recognition, especially the white and the yellow lanes, is necessary technique because it is directly related to traffic accidents. In this paper, color information of lane and road area is mapped to a 2-dimensional S-color space based on lane detection. And the center of the feature distribution is obtained by using an improved mean-shift algorithm in the S-color space. The lane color is determined by using the distance between the center coordinates of the color features of the left and right lanes and the road area. In various illumination conditions, about 97% color recognition rate is achieved.

A Study on Luminance Contrast Criteria for Tactile Walking Surface Indicators (시각장애인 점자블록의 휘도대비 기준에 대한 연구)

  • Shin, Dong-Hong;Park, Kwang-Jae;Kim, Sang-Woon
    • Journal of The Korea Institute of Healthcare Architecture
    • /
    • v.22 no.1
    • /
    • pp.7-15
    • /
    • 2016
  • Purpose: There are the number of color tactile walking surface indicators installed in Korea, because of indefinite regulation in blind and vision-impaired persons' tactile walking surface indicators. In case of yellow tactile walking surface indicators, it shows a deviation severe color. In this study, the researchers suggested color and brightness reference for helping blind and vision-impaired persons' walking through analyzing the color references of tactile walking surface indicators and the color luminance between tactile walking surface indicators and sidewalk currently used. Method: Reasonable luminance contrast criteria is suggested by examining ways of improving the recognition and recognition of objects according to color contrast visually impaired through literature review and analyzing standards of tactile walking surface indicators and the Europe, Japan and Australia of color and luminance contrast criteria. And by examining the color of the tactile walking surface indicators reported in Korea currently used to derive the problem presented by the luminance contrast in the reference and comparison. Finally, the visually impaired tactile walking surface indicators is set for color selection criteria for the recognition rate improves. Results: In order to improve the recognition rate to be tactile walking surface indicators of the contrast of the visually impaired and the environment than the color of the tactile walking surface indicators itself to secure always a certain level or more of brightness contrast values in the set of the color of the tactile walking surface indicators so important. Implication: In order to set the blind tactile walking surface indicators color recognition based on the verification of the real pedestrian based on the results presented in this paper it is required. It is to be understood as an element of the barrier free configuration for securing the walking pedestrian safety.

Traffic Light and Speed Sign Recognition by using Hierarchical Application of Color Segmentation and Object Feature Information (색상분할 및 객체 특징정보의 계층적 적용에 의한 신호등 및 속도 표지판 인식)

  • Lee, Kang-Ho;Bang, Min-Young;Lee, Kyu-Won
    • The KIPS Transactions:PartB
    • /
    • v.17B no.3
    • /
    • pp.207-214
    • /
    • 2010
  • A method of the region extraction and recognition of a traffic light and speed sign board in the real road environment is proposed. Traffic light was recognized by using brightness and color information based on HSI color model. Speed sign board was extracted by measuring red intensity from the HSI color information We improve the recognition rate by performing an incline compensation of the speed sign for directions clockwise and counterclockwise. The proposed algorithm shows a robust recognition rate in the image sequence which includes traffic light and speed sign board.