• Title/Summary/Keyword: RGB color information

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An Efficient Color Edge Detection Using the Mahalanobis Distance

  • Khongkraphan, Kittiya
    • Journal of Information Processing Systems
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    • v.10 no.4
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    • pp.589-601
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    • 2014
  • The performance of edge detection often relies on its ability to correctly determine the dissimilarities of connected pixels. For grayscale images, the dissimilarity of two pixels is estimated by a scalar difference of their intensities and for color images, this is done by using the vector difference (color distance) of the three-color components. The Euclidean distance in the RGB color space typically measures a color distance. However, the RGB space is not suitable for edge detection since its color components do not coincide with the information human perception uses to separate objects from backgrounds. In this paper, we propose a novel method for color edge detection by taking advantage of the HSV color space and the Mahalanobis distance. The HSV space models colors in a manner similar to human perception. The Mahalanobis distance independently considers the hue, saturation, and lightness and gives them different degrees of contribution for the measurement of color distances. Therefore, our method is robust against the change of lightness as compared to previous approaches. Furthermore, we will introduce a noise-resistant technique for determining image gradients. Various experiments on simulated and real-world images show that our approach outperforms several existing methods, especially when the images vary in lightness or are corrupted by noise.

Study on Scalable Video Coding Signals Transmission Scheme using LED-ID System (LED-ID 시스템을 이용한 SVC 신호의 전송 기법에 관한 연구)

  • Lee, Kyu-Jin;Cha, Dong-Ho;Hwang, Sun-Ha;Lee, Kye-San
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.10B
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    • pp.1258-1267
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    • 2011
  • In this paper, using the indoor LED-ID communication system have researched for how to transmit video signals. In LED-ID communications use the LEDs for lighting features at the same time communication is an effective way to implement. This proposed system using Visible light(RGB) as way to transmit signals, depends on the mixture RGB, which decided the color of light, moreover, each things determined their performance. However, if the video signal were fixed allocated RGB to transmit such as the original system, the importance of the each signals a different occur the limit on the quality of the video than SVC signals. In order to solve this problem in this paper, according to the RGB mixture ratios analyze the performance for the White LED, which analyzed based on allocating the SVC signal by transmitting to improve the quality of the video was about how researched.

A Study on Color Information Recognition with Improved Fuzzy Inference Rules (개선된 퍼지 추론 규칙을 이용한 색채 정보 인식에 관한 연구)

  • Woo, Seung-Beom;Kim, Kwang-Baek
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.105-111
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    • 2009
  • Widely used color information recognition methods based on the RGB color model with static fuzzy inference rules have limitations due to the model itself - the detachment of human vision and applicability of limited environment. In this paper, we propose a method that is based on HSI model with new inference process that resembles human vision recognition process. Also, a user can add, delete, update the inference rules in this system. In our method, we design membership intervals with sine, cosine function in H channel and with functions in trigonometric style in S and I channel. The membership degree is computed via interval merging process. Then, the inference rules are applied to the result in order to infer the color information. Our method is proven to be more intuitive and efficient compared with RGB model in experiment.

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Image Sensor Module for Detecting Spatial Color Temperature in Indoor Environment (실내 환경의 공간 색온도 검출을 위한 이미지센서 모듈)

  • Moon, Seong-Jae;Kim, Young-Woo;Lim, Yeong-Seog
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.191-196
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    • 2021
  • In this paper, we implemented an image sensor module possible of detecting color temperature in an indoor environment. The color temperature information in the video information acquired by the image sensor was matched with a color difference illuminometer to produce an LUT. An algorithm was developed so that color temperature information according to the received RGB values can be automatically calculated. As a result of measuring the color temperature with an image sensor indoors, an accurate result of less than 5.91% was obtained compared to the reference value. It was confirmed that the uniformity of 23.5% or more was excellent compared to the color temperature measurement result using a color sensor.

A White Balance System for PDP TV (PDP TV에서 인간 시각을 고려한 최적의 White Balance 구현)

  • 정기백;구본철
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.363-366
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    • 2003
  • We propose the system that automatically adjusts the white balance on display products to a standard value according to several nations. We replace manual or semi-auto method with fully automatic method using windows application program. And we use RS-232C serial interface to communicate PC with display products which we want to adjust white balance. The PC generates patterns for measuring color information and Color Analyzer measures color and brightness. This value is transmitted through RS-232C serial interface to PC. The PC's algorithm analyzes this information and then decides which RGB Gain value is best for optimal white balance. This RGB Gain value is transmitted through RS-232C serial interface to display products. The modified color value is measured again and feed back to PC. This sequence is repeated until optimum white balance is obtained.

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Design and Implementation of a Content-based Color Image Retrieval System based on Color -Spatial Feature (색상-공간 특징을 사용한 내용기반 칼라 이미지 검색 시스템의 설계 및 구현)

  • An, Cheol-Ung;Kim, Seung-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.5 no.5
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    • pp.628-638
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    • 1999
  • In this paper, we presents a method of retrieving 24 bpp RGB images based on color-spatial features. For each image, it is subdivided into regions by using similarity of color after converting RGB color space to CIE L*u*v* color space that is perceptually uniform. Our segmentation algorithm constrains the size of region because a small region is discardable and a large region is difficult to extract spatial feature. For each region, averaging color and center of region are extracted to construct color-spatial features. During the image retrieval process, the color and spatial features of query are compared with those of the database images using our similarity measure to determine the set of candidate images to be retrieved. We implement a content-based color image retrieval system using the proposed method. The system is able to retrieve images by user graphic or example image query. Experimental results show that Recall/Precision is 0.80/0.84.

Similarity Evaluation on Images of Textile Print Design for Digital Library (Digital Library를 위한 텍스타일 프린트 디자인의 이미지 유사성 평가)

  • Lee, Chae-Jung;Kim, Joo-Yong
    • Science of Emotion and Sensibility
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    • v.10 no.4
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    • pp.631-637
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    • 2007
  • This research focuses on similarity evaluation of images according to tones of images. Color space of images were converted RGB color space into HSI color space. The information entropy criteria has been taken for evaluating similarity of images for digital library. The similarity was then calculated by combining correlation coefficients and information entropy. Those two values are further analyzed with a relation to human sensibility.

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Raw Sensor Single Image Super Resolution Using Color Corrector-Attention Network (코렉터 어텐션 네트워크을 이용한 로우 센서 영상 초해상화 기법)

  • Paul Shin;Teaha Kim;Yeejin Lee
    • Journal of Broadcast Engineering
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    • v.28 no.1
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    • pp.90-99
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    • 2023
  • In this paper, we propose a super resolution network for raw sensor image which data size is lower comparatively to RGB image. But the actual capabilities of raw image super resolution depends on color correction because its absent of camera post processing that leads to unintended result having different white balance, saturation, etc. Thus, we introduce novel color corrector attention network by adopting the idea of precedent raw super resolution research, and tune to the our faced problem from data specification. The result is not superior to former researches but shows decent output on certain performance matrix. In the same time, we encounter new challenging problem of unexpected shadowing artifact around image objects that cause performance declination despite its good result overall. This problem remains a task to be solved in the future research.

Distance Measuring Method for Motion Capture Animation (모션캡쳐 애니메이션을 위한 거리 측정방법)

  • Lee, Heei-Man;Seo, Jeong-Man;Jung, Suun-Key
    • The KIPS Transactions:PartB
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    • v.9B no.1
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    • pp.129-138
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    • 2002
  • In this paper, a distance measuring algorithm for motion capture using color stereo camera is proposed. The color markers attached on articulations of an actor are captured by stereo color video cameras, and color region which has the same color of the marker's color in the captured images is separated from the other colors by finding dominant wavelength of colors. Color data in RGB (red, green, blue) color space is converted into CIE (Commission Internationale del'Eclairage) color space for the purpose of calculating wavelength. The dominant wavelength is selected from histogram of the neighbor wavelengths. The motion of the character in the cyber space is controlled by a program using the distance information of the moving markers.

Generation and Evaluation of Power Model for Mobile AMOLED Display Using RGB Color Space Partitioning Method Considering Power (전력을 고려한 RGB 색 공간 분할 기법 및 이를 활용한 AMOLED 디스플레이의 소모 전력 모델 생성 그리고 평가)

  • Baek, Dusan;Choi, Yoo-Rim;Lee, Byungjeong;Lee, Jung-Won
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.9
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    • pp.335-344
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    • 2018
  • The power model is needed to handle the power consumption of mobile AMOLED display at the software level. However, the existing studies to generate the power model have required the experimental environment and equipment for the power measurement activity. In addition, the combination of RGB values used for modeling was imprudent and small, so it was difficult to reflect the mutual influence between the RGB values into the model. To solve these problems, we propose an RGB color space partitioning method, which is used to prudently sample the combinations of the RGB values based on the color or the power. We also propose a process for generating a mapping table composed of . We analyzed the characteristics of the samples generated according to the proposed partitioning methods, taking into account the color and the power, and generated the mapping table for the AMOLED display. Furthermore, we confirmed the reusability of the mapping table by utilizing one mapping table multiple times in evaluating different power models. These mapping tables are provided to researchers and can be used to generate and evaluate power models without power measurement activities.