• Title/Summary/Keyword: Color Processing

Search Result 2,231, Processing Time 0.034 seconds

Traffic Signal Detection and Recognition Using a Color Segmentation in a HSI Color Model (HSI 색상 모델에서 색상 분할을 이용한 교통 신호등 검출과 인식)

  • Jung, Min Chul
    • Journal of the Semiconductor & Display Technology
    • /
    • v.21 no.4
    • /
    • pp.92-98
    • /
    • 2022
  • This paper proposes a new method of the traffic signal detection and the recognition in an HSI color model. The proposed method firstly converts a ROI image in the RGB model to in the HSI model to segment the color of a traffic signal. Secondly, the segmented colors are dilated by the morphological processing to connect the traffic signal light and the signal light case and finally, it extracts the traffic signal light and the case by the aspect ratio using the connected component analysis. The extracted components show the detection and the recognition of the traffic signal lights. The proposed method is implemented using C language in Raspberry Pi 4 system with a camera module for a real-time image processing. The system was fixedly installed in a moving vehicle, and it recorded a video like a vehicle black box. Each frame of the recorded video was extracted, and then the proposed method was tested. The results show that the proposed method is successful for the detection and the recognition of traffic signals.

Design and Implementation of High Performance System with Reduced Hardware Architecture to Convert a Color Tone (감소된 하드웨어 구조를 가지는 고성능 색조 변환 시스템의 설계 및 구현)

  • 문오학;이호남;이봉근;강봉순;홍창희
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.2 no.4
    • /
    • pp.1-8
    • /
    • 2001
  • In this paper we propose high performance system with reduced hardware architecture to convert a color tone. Conversion for the color tone of a input image is necessary to calculate the color temperature of the image Conventional way of calculating the temperature uses algorithm using the method calculating 2-D chromaticity coordinates. But it requires bulky hardware[1]. This paper propose the color temperature calculation method about 1-D chromaticity coordinates that reduces the hardware complexity while keeping the performance of the 2-D color temperature algorithm . The proposed method is verified by fLCD-TV system using the Xilinx Virtex FPGA XCV 2000E-6BG560 that has 1344*806 resolution and requires a high-speed 65MHz operation.

  • PDF

Histogram Equalized Eigen Co-occurrence Features for Color Image Classification (컬러이미지 검색을 위한 히스토그램 평활화 기반 고유 병발 특징에 관한 연구)

  • Yoon, TaeBok;Choi, YoungMee;Choo, MoonWon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2010.11a
    • /
    • pp.705-708
    • /
    • 2010
  • An eigen color co-occurrence approach is proposed that exploits the correlation between color channels to identify the degree of image similarity. This method is based on traditional co-occurrence matrix method and histogram equalization. On the purpose of feature extraction, eigen color co-occurrence matrices are computed for extracting the statistical relationships embedded in color images by applying Principal Component Analysis (PCA) on a set of color co-occurrence matrices, which are computed on the histogram equalized images. That eigen space is created with a set of orthogonal axes to gain the essential structures of color co-occurrence matrices, which is used to identify the degree of similarity to classify an input image to be tested for various purposes. In this paper RGB, Gaussian color space are compared with grayscale image in terms of PCA eigen features embedded in histogram equalized co-occurrence features. The experimental results are presented.

Color Image Segmentation Using Characteristics of Superpixels (슈퍼픽셀특성을 이용한 칼라영상분할)

  • Lee, Jeong-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2012.05a
    • /
    • pp.649-651
    • /
    • 2012
  • In this paper, a method of segmenting color image using characteristics of superpixels is proposed. A superpixel is consist of several pixels with same features such as luminance, color, textures etc. The superpixel can be used for image processing and analysis with large scale image to get high speed processing. A color image can be transformed to $La^*b^*$ feature space having good characteristics, and the superpixels are grouped by clustering and gradient-based algorithm.

  • PDF

A Study on the Emotional Evaluation of fabric Color Patterns

  • Koo, Hyun-Jin;Kang, Bok-Choon;Um, Jin-Sup;Lee, Joon-Whan
    • Science of Emotion and Sensibility
    • /
    • v.5 no.3
    • /
    • pp.11-20
    • /
    • 2002
  • There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

  • PDF

RGBW Transflective TFT LCDs with Adjustable Reflective Color Gamut by Image Processing Algorithm

  • Yang, Tun-Chun;Hung, Kuo-Yung;Pei, Chih-Chun;Hu, Chih-Jen;Chang, Chih-Ming;Chen, Po-Lun;Lin, Kun-Yu
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • 2006.08a
    • /
    • pp.209-214
    • /
    • 2006
  • Adjustable reflective color gamut RGBW transflective liquid crystal display (ARC RGBW TRLCD) applied simple manufacture process and image processing algorithm to achieve high brightness and good color performance both in transmissive and reflective mode. With appropriate modification higher transmittance but no color distortion happens in transmissive mode. Moreover, base on superior reflectance total brightness and color gamut also can be modified under different ambience. It provides the flexibility not only for any environments but also for variant personal hobbies. It is the best technique used both at indoor and outdoor.

  • PDF

Feasibility in Grading the Burley Type Dried Tobacco Leaf Using Computer Vision (컴퓨터 시각을 이용한 버얼리종 건조 잎 담배의 등급판별 가능성)

  • 조한근;백국현
    • Journal of Biosystems Engineering
    • /
    • v.22 no.1
    • /
    • pp.30-40
    • /
    • 1997
  • A computer vision system was built to automatically grade the leaf tobacco. A color image processing algorithm was developed to extract shape, color and texture features. An improved back propagation algorithm in an artificial neural network was applied to grade the Burley type dried leaf tobacco. The success rate of grading in three-grade classification(1, 3, 5) was higher than the rate of grading in six-grade classification(1, 2, 3, 4, 5, off), on the average success rate of both the twenty-five local pixel-set and the sixteen local pixel-set. And, the average grading success rate using both shape and color features was higher than the rate using shape, color and texture features. Thus, the texture feature obtained by the spatial gray level dependence method was found not to be important in grading leaf tobacco. Grading according to the shape, color and texture features obtained by machine vision system seemed to be inadequate for replacing manual grading of Burely type dried leaf tobacco.

  • PDF

Corresponding Color Reproduction on CRT between Illuminated Environment viewing Conditions (관찰환경에 따른 소프트카피의 대응적 색재현)

  • 곽한봉;안성아;서봉우;이영호;안석출
    • Proceedings of the Korea Institute of Convergence Signal Processing
    • /
    • 2001.06a
    • /
    • pp.241-244
    • /
    • 2001
  • A various color device became generalization. Therefore, request about expression of correct color is increased. Device independent color reproduction system acquires and reproduce color of object regardless characteristic of Input/Output device. Human visual system is partially adapted to the CRT monitor's white point and the ambient light. The visual experiments were performed on the effect of the ambient lighting under mixed chromatic adaptation. In this paper, It was found that human visual system is 40% to 60% adapted to CRT monitor's white point light and the rest to ambient light.

  • PDF

A study on Object Tracking using Color-based Particle Filter

  • Truong, Mai Thanh Nhat;Kim, Sanghoon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2016.04a
    • /
    • pp.743-744
    • /
    • 2016
  • Object tracking in video sequences is a challenging task and has various applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation problems. In this study, we first try to develop a color-based particle filter. In this approach, the color distributions of video frames are integrated into particle filtering. Color distributions are applied because of their robustness and computational efficiency. The model of the particle filter is defined by the color information of the tracked object. The model is compared with the current hypotheses of the particle filter using the Bhattacharyya coefficient. The proposed tracking method directly incorporates the scale and motion changes of the objects. Experimental results have been presented to show the effectiveness of our proposed system.

An Improvement Method of Color Image Using Saturation Extension

  • Yang, Kyoung-Ok;Yun, Jong-Ho;Cho, Hwa-Hyun;Choi, Myung-Ryul
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • 2007.08a
    • /
    • pp.1035-1038
    • /
    • 2007
  • In this paper, we propose a color image improvement method. The proposed algorithms are classified with the adaptive contrast stretching method for contrast enhancement and the adaptive saturation enhancement method for saturation enhancement. The adaptive contrast stretching method is to compensate a significant change of brightness while luminance is processed. The adaptive saturation enhancement method inhibits its saturation from de-saturation and oversaturation while chrominance is processed. The proposed algorithms are focused on a preference color processing in order to generate better image quality than the algorithms focused on a uniform color processing for human vision.

  • PDF