• Title/Summary/Keyword: light color

Search Result 2,982, Processing Time 0.026 seconds

Color Sensing Technology using Arduino and Color Sensor (아두이노와 컬러센서를 이용한 색상 감지 기술)

  • Dusub Song;Hojun Yeom;Sangsoo Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.3
    • /
    • pp.13-17
    • /
    • 2024
  • A color sensor is an optical sensor used to take pictures of objects, including the human body, and reproduce them on a monitor. A color sensor quantifies the red, green, and blue light coming from an object and expresses it as a digital number, and can judge the state of the object by comparing the values ​​or the ratio.In this study, the standard colors displayed on the monitor were measured using a color sensor, and the magnitudes of the red, green, and blue components, or RGB values, were compared with the values ​​indicated by the computer. When measured with the TCS 34725 color sensor, even when the light generated by the computer consists of only one or two of red, green, and blue light, the color sensor detected all three components. Additionally, when the colors of two monitors with the same RGB values ​​were measured using a color sensor, different RGB values ​​were measured. These results can be attributed to the imperfection of the color filters used to express colors on the monitor and the imperfect optical characteristics of the photodiodes used in the color sensor. When photographing an object and judging its condition based on its color, you must use the same type of camera or smartphone.

Retinex Algorithm Improvement for Color Compensation in Back-Light Image Efficently (역광 이미지의 효율적인 컬러 색상 보정을 위한 Retinex 알고리즘의 성능 개선)

  • Kim, Young-Tak;Yu, Jae-Hyoung;Hahn, Hern-Soo
    • Journal of the Korea Society of Computer and Information
    • /
    • v.16 no.1
    • /
    • pp.61-69
    • /
    • 2011
  • This paper proposes a new algorithm that improve color component of compensated image using Retinex method for back-light image. A back-light image has two regions, one of the region is too bright and the other one is too dark. If an back-light image is improved contrast using Retinex method, it loses color information in the part of brightness of the image. In order to make up loss information, proposed algorithm adds color components from original image. The histogram can be divided three parts that brightness, darkness, midway using K-mean (k=3) algorithm. For the brightness, it is used color information of the original image. For the darkness, it is converted using by Retinex method. The midway region is mixed between original image and Retinex result image in the ratio of histogram. The ratio is determined by distance from dark area. The proposed algorithm was tested on nature back-light images to evaluate performance, and the experimental result shows that proposed algorithm is more robust than original Retinex algorithm.

Effects of 3 different light-curing units on the physico-mechanical properties of bleach-shade resin composites

  • Azin Farzad;Shahin Kasraei;Sahebeh Haghi;Mahboubeh Masoumbeigi;Hassan Torabzadeh;Narges Panahandeh
    • Restorative Dentistry and Endodontics
    • /
    • v.47 no.1
    • /
    • pp.9.1-9.11
    • /
    • 2022
  • Objectives: This study investigated the microhardness, flexural strength, and color stability of bleach-shade resin composites cured with 3 different light-curing units. Materials and Methods: In this in vitro experimental study, 270 samples were fabricated of bleach and A2 shades of 3 commercial resin composites (Point 4, G-aenial Anterior, and Estelite Sigma Quick). Samples (n = 5 for each trial) were cured with Bluephase N, Woodpecker LED.D, and Optilux 501 units and underwent Vickers microhardness and flexural strength tests. The samples were tested after 24 hours of storage in distilled water. Color was assessed using a spectrophotometer immediately after preparation and 24 hours after curing. Data were analyzed using 3-way analysis of variance and the Tukey test (p ≤ 0.001). Results: Samples cured with Optilux exhibited the highest and those cured with LED.D exhibited the lowest microhardness (p = 0.023). The bleach shade of Point 4 composite cured with Optilux displayed the highest flexural strength, while the same composite and shade cured with Sigma Quick exhibited the lowest (p ≤ 0.001). The color change after 24 hours was greatest for the bleach shade of G-aenial cured with Bluephase N and least for the A2 shade of Sigma Quick cured with Optilux (p ≤ 0.001). Conclusions: Light curing with polywave light-emitting diode (LED) yielded results between or statistically similar to those of quartz-tungsten-halogen and monowave LED in the microhardness and flexural strength of both A2 and bleach shades of resin composites. However, the brands of light-curing devices showed significant differences in color stability.

"The Light": An Experimental Moving Image which uses Color, Trace, and Interactivity of Light to Measure Quantitative Presence ("The Light": 정량적 프레즌스 측정을 위한 빛의 색, 빛의 움직임, 빛과의 인터랙션을 이용한 추상영상 실험)

  • Jeon, Seongsin;Kim, Seong Whan
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.6 no.12
    • /
    • pp.587-592
    • /
    • 2017
  • In this paper, we raise a question: what makes presence in artistic works. Presence has been defined as a physiological and emotional feeling which feels that he or she is immerged in a specific artworks when he/she is very interested in the artwork. We design and implemented an abstract media art "The Light" which uses the color, trace, and interactivity of light to measure quantitative presence. Frequency spectrum of light on specific object which we perceive makes color; Motion of light and its impact on object makes shape which perceived in our human visual system; Interactivity or perceived distance between object and observer makes intensity of perception. We experimented our images with subjective survey which includes PQS (presence questionnaire survey) and objective test using brain signals (EEG). From our interactive experimental moving images tested on 30 subject, we conclude that we can make more presence as we interact more with images. Photo-realistic images is just pass-by and it is transformed to abstract images, as we more focused on the images, and the essential components of the abstraction includes color, trace, and interaction with subjects.

Optic Characteristics Comparison and Analysis of SMD Type Y/G/W HB LED (SMD형 Y/G/W HB LED의 광특성 비교분식)

  • 황명근;허창수;서유진
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.18 no.4
    • /
    • pp.15-21
    • /
    • 2004
  • The optical characteristics; luminous flux, correlated color temperature, and CIE -chromaticity coordinate etc., of HB LED(high brightness light emitting diode) of yellow/green/white SMD(surface mounted device) type were tested with integrating sphere photometer and monochromator, and the results were comparatively evaluated And, for the white LED, color rendering indices were considered to analyze.

Analysis of High Luminance LED Beam Degradation using Color CCD Image (칼라 CCD 영상을 이용한 고휘도 LED 전구의 빔 열화 분석)

  • Cho, Jai-Wan;Choi, Young-Soo;Lee, Jae-Chul;Koo, In-Soo;Hong, Seok-Boong
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.16 no.6
    • /
    • pp.586-591
    • /
    • 2010
  • VLC (Visible Light Communication) is a wireless communication method using light that is visible to the human eye. It has a major advantage that it causes no interference to RF-based devices. This makes wireless communication possible in RF hazardous areas such as nuclear facilities. In order to apply VLC communication in harsh environment of nuclear power plant, the high luminance LEDs, which are key components of the VLC communication, have been gamma-ray irradiated at the dose rate of 4kGy/h during 72 hours up to a total dose of 288 kGy. The radiation induced color-center was formed in the LED housing cap made of transparent plastic or acryl material. The beam degradations of high luminance LEDs by high dose-rate gammaray irradiation are analyzed using color CCD image processing technology.

Color Sensing and Signal Transmission Diversity of Cyanobacterial Phytochromes and Cyanobacteriochromes

  • Villafani, Yvette;Yang, Hee Wook;Park, Youn-Il
    • Molecules and Cells
    • /
    • v.43 no.6
    • /
    • pp.509-516
    • /
    • 2020
  • To perceive fluctuations in light quality, quantity, and timing, higher plants have evolved diverse photoreceptors including UVR8 (a UV-B photoreceptor), cryptochromes, phototropins, and phytochromes (Phys). In contrast to plants, prokaryotic oxygen-evolving photosynthetic organisms, cyanobacteria, rely mostly on bilin-based photoreceptors, namely, cyanobacterial phytochromes (Cphs) and cyanobacteriochromes (CBCRs), which exhibit structural and functional differences compared with plant Phys. CBCRs comprise varying numbers of light sensing domains with diverse color-tuning mechanisms and signal transmission pathways, allowing cyanobacteria to respond to UV-A, visible, and far-red lights. Recent genomic surveys of filamentous cyanobacteria revealed novel CBCRs with broader chromophore-binding specificity and photocycle protochromicity. Furthermore, a novel Cph lineage has been identified that absorbs blue-violet/yellow-orange light. In this minireview, we briefly discuss the diversity in color sensing and signal transmission mechanisms of Cphs and CBCRs, along with their potential utility in the field of optogenetics.

Traffic Lights Detection and Recognition System Using Black-Box Images (차량용 블랙박스 영상을 이용한 주간 신호등 탐지 및 인식 시스템)

  • Hawng, Ji-Eun;Ahn, Dasol;Lee, Seunghwa;Park, Sung-Ho;Park, Chun-Su
    • Journal of the Semiconductor & Display Technology
    • /
    • v.15 no.2
    • /
    • pp.43-48
    • /
    • 2016
  • In this paper, we propose a traffic light detection and recognition (TLDR) algorithm in the daytime. The proposed algorithm utilizes the color and shape information for the TLDR. At first, a traffic light is detected and recognized based on its shape information. Then, the color range of the detected traffic light is investigated in HSV color space. The input data of the proposed TLDR algorithm is the color image captured using the black box camera during driving. Our simulations demonstrate that the proposed algorithm can achieve a high detection and recognition performance for the images including traffic lights.

A study on color variable technique using high brightness LEDs (고휘도 LED 광원을 사용하는 광색가변 기술에 관한 연구)

  • Yu, Yong-Su;Song, Sang-Bin;Kim, Yan-Ho;Yeo, In-Seon
    • Proceedings of the KIEE Conference
    • /
    • 2001.07d
    • /
    • pp.2585-2587
    • /
    • 2001
  • This paper suggests a method of color variation technique to generate stable white light. The light from high brightness RGB LED was mixed according to the RGB LED luminance ratio. A microcontroller-based PWM control circuit and switching circuit is used to achieve full color variation. It is confirmed that the stable white light and full color variation is possible.

  • PDF

Enhancing Underwater Images through Deep Curve Estimation (깊은 곡선 추정을 이용한 수중 영상 개선)

  • Muhammad Tariq Mahmood;Young Kyu Choi
    • Journal of the Semiconductor & Display Technology
    • /
    • v.23 no.2
    • /
    • pp.23-27
    • /
    • 2024
  • Underwater images are typically degraded due to color distortion, light absorption, scattering, and noise from artificial light sources. Restoration of these images is an essential task in many underwater applications. In this paper, we propose a two-phase deep learning-based method, Underwater Deep Curve Estimation (UWDCE), designed to effectively enhance the quality of underwater images. The first phase involves a white balancing and color correction technique to compensate for color imbalances. The second phase introduces a novel deep learning model, UWDCE, to learn the mapping between the color-corrected image and its best-fitting curve parameter maps. The model operates iteratively, applying light-enhancement curves to achieve better contrast and maintain pixel values within a normalized range. The results demonstrate the effectiveness of our method, producing higher-quality images compared to state-of-the-art methods.

  • PDF