• Title/Summary/Keyword: color images

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Facial-feature Detection in Color Images using Chrominance Components and Mean-Gray Morphology Operation (색도정보와 Mean-Gray 모폴로지 연산을 이용한 컬러영상에서의 얼굴특징점 검출)

  • 강영도;양창우;김장형
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.714-720
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    • 2004
  • In detecting human faces in color images, additional geometric computation is often necessary for validating the face-candidate regions having various forms. In this paper, we propose a method that detects the facial features using chrominance components of color which do not affected by face occlusion and orientation. The proposed algorithm uses the property that the Cb and Cr components have consistent differences around the facial features, especially eye-area. We designed the Mean-Gray Morphology operator to emphasize the feature areas in the eye-map image which generated by basic chrominance differences. Experimental results show that this method can detect the facial features under various face candidate regions effectively.

Design of Natural Dyeing Hanbok-Type Leisurewear Using Elm Bark and Rubia akane Nakai Composite Extracts (느릅나무껍질과 꼭두서니 복합추출물을 이용한 천연염색 한복형 휴식복 디자인)

  • Jang, Hyun-Joo
    • Fashion & Textile Research Journal
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    • v.23 no.2
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    • pp.151-158
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    • 2021
  • The purpose of this study was to develop high-quality naturally dyed leisurewear with images of traditional Korean clothing that keeps a psychologically comfortable and physically pleasant environment at home and in vacation spots. The root bark of elm trees, the atopic skin, is also known to be effective for the relief of rhinitis and atopic diseases as well as stress and insomnia. However, there is insufficient color in the bark for the dyeing of fashion products, so to compensate for the lack of color, for dyeing purposes it was combined with a composite extract called Rubia akane Nakai resulting in a relatively bright red color. Except for the light fastness, all the fastnesses were rated 4 to 5, showing excellent results. Through complex dyeing using elm bark and pods extract the author produced four high-quality vests, one-piece, a gown, and jeogori-pantsuits of silk materials with Korean images that are suitable wear for relaxing comfortably at home and during breaks and which provide a comfortable and physically pleasant experience. The vest was made with the formal style of Bae-ja and Dang-eu, the dress is made of Cheok-lik, and the gown is made of Wonsam. It will be meaningful at a time when the importance of rest is increasing due to the healing clothes worn by busy modern people.

A study on the detection of pedestrians in crosswalks using multi-spectrum (다중스펙트럼을 이용한 횡단보도 보행자 검지에 관한 연구)

  • kim, Junghun;Choi, Doo-Hyun;Lee, JongSun;Lee, Donghwa
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.1
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    • pp.11-18
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    • 2022
  • The use of multi-spectral cameras is essential for day and night pedestrian detection. In this paper, a color camera and a thermal imaging infrared camera were used to detect pedestrians near a crosswalk for 24 hours at an intersection with a high risk of traffic accidents. For pedestrian detection, the YOLOv5 object detector was used, and the detection performance was improved by using color images and thermal images at the same time. The proposed system showed a high performance of 0.940 mAP in the day/night multi-spectral (color and thermal image) pedestrian dataset obtained from the actual crosswalk site.

Banner Control Automation System Using YOLO and OpenCV (YOLO와 OpenCV기술을 활용한 현수막 단속 자동화 시스템 방안)

  • Dukwoen Kim;Jihoon Lee
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.4
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    • pp.48-52
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    • 2023
  • From the past to the present, banners are consistently used as effective advertising means. In the case of Korea, there are frequent situations in which hidden advertisements are installed. As a result, such hidden advertisement materials may damage urban aesthetics and moreover, incur unnecessary manpower consumption and waste of money. The proposed method classifies the detected banners into good banner and bad banner. The classification results are based on whether the relevant banners are installed in compliance with legal guidelines. In the process, YOLO and Open Computer Vision library are used to determine from various perspectives whether banners in CCTV images comply with the guidelines. YOLO is used to detect the banner area in CCTV images, and OpenCV is used to detect the color values in the area for color comparison. If a banner is detected in the video, the proposed method calculates the location of the banner and the distance from the designated bulletin to determine whether it was installed within the designated location, and then compares whether the color used in the banner is complied with local government guidelines.

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Extraction of an Effective Saliency Map for Stereoscopic Images using Texture Information and Color Contrast (색상 대비와 텍스처 정보를 이용한 효과적인 스테레오 영상 중요도 맵 추출)

  • Kim, Seong-Hyun;Kang, Hang-Bong
    • Journal of Korea Multimedia Society
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    • v.18 no.9
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    • pp.1008-1018
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    • 2015
  • In this paper, we propose a method that constructs a saliency map in which important regions are accurately specified and the colors of the regions are less influenced by the similar surrounding colors. Our method utilizes LBP(Local Binary Pattern) histogram information to compare and analyze texture information of surrounding regions in order to reduce the effect of color information. We extract the saliency of stereoscopic images by integrating a 2D saliency map with depth information of stereoscopic images. We then measure the distance between two different sizes of the LBP histograms that are generated from pixels. The distance we measure is texture difference between the surrounding regions. We then assign a saliency value according to the distance in LBP histogram. To evaluate our experimental results, we measure the F-measure compared to ground-truth by thresholding a saliency map at 0.8. The average F-Measure is 0.65 and our experimental results show improved performance in comparison with existing other saliency map extraction methods.

Performance Enhancement of Shadow Removal Algorithms Using Color Information of Objects (물체의 컬러 정보를 이용한 그림자 제거 기법의 성능 향상)

  • Kim, Hee-Sang;Kim, Ji-Hong;Choi, Doo-Hyun
    • Journal of Korea Multimedia Society
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    • v.12 no.7
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    • pp.941-946
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    • 2009
  • As supplying of automatic surveillance or patrol systems based on image processing, the needs on object extraction technology from images increases. The extraction is more difficult when the lighting condition is changed from time to time. There are many approaches to extract objects from images excluding shadow. They have a common problem something like loss of object region according with shadow removal. In this paper a restoration method using color information of objects to complement the problem is presented. The usefulness of the method is verified using images taken from different lighting conditions and selected from well-known DB.

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Raster Pipeline Implementation based on 3D Graphics Geometry Pipelines (3차원 그래픽스 기하 파이프라인 기반의 래스터 파이프라인 구현)

  • Baek, Nakhoon
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.44-51
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    • 2013
  • Raster operations are widely used to display full-color graphics images (or pixmaps) and single-color images (or bitmaps). These features are strongly needed for image processing applications and font output. However, current mobile graphics platforms, including OpenGL ES hardware implementations, do not directly support these features. To fully support those raster operations on the mobile graphics platforms, we interpreted the graphics images as a set of 3D points, and processed those 3D points through the typical 3D geometry pipelines, in a full-software implementation. Our implementation shows sufficient execution speeds, and passed the official conformance tests to show its correctness.

Analysis of the spectroscopic characteristics of Ground color images using a digital camera (디지털 카메라를 활용한 컬러 지상영상의 분광학적 특성 분석)

  • Ko, In-Chul;Seo, Su-Young
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2010.06a
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    • pp.137-144
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    • 2010
  • Ground digital image data obtained by using DSLR camera can be used to the ground photogrammetry and spatial modeling. Intensity of each pixel in digital video images is the most important parameter to generate digital image. Therefore, it is needed to estimate the parameters and spectral characteristics of digital cameras in order to take more definite intensity data. In this study, using the Sony DSC-F828 DSLR camera, seven digital images are obtained by the continuous shooting. (frame rate, 0.38 seconds). And then extract the value of the intensity from RGB band of each digital color photographs to confirm difference of intensity between frames. The purpose of this study is to confirm spectral characteristics and changes and to estimate correlation through the analysis of statistical in each pixel of R, G, B band.

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Development of Image Capture Program for a Mobile Mapping System along CCD Camera Characteristics (차량측량시스템을 위한 영상취득 프로그램 개발)

  • Jeong, Dong-Hoon;Kim, Byung-Guk
    • Journal of Korea Spatial Information System Society
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    • v.4 no.2 s.8
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    • pp.35-40
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    • 2002
  • In this study we developed a CCD camera image capture program for Mobile Mapping System. Especially, two high resolution color images could be captured and saved simultaneously through this program to apply digital photogrammetry. Program developed in this study could be used more effectively on the 3D positioning of road facilities, the state understanding of maintenance and etc. using Mobile Mapping System with GPS-IMU. Most programs currently developed and used are for the panchromatic images. But, newly developed program is for the high resolution color images. Therefore newly developed program could expand application field of Mobile Mapping System widely, and users. This research can improve the usability of 4S' products with stable and reliable.

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Merging of KOMPSAT-1 EOC Image and MODIS Images to Survey Reclaimed Land (간척지 조사를 위한 KOMPSAT-1 EOC 영상과 MODIS 영상의 중합)

  • 신석효;김상철;안기원;임효숙;서두천
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.171-180
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    • 2003
  • The merging of different scales or multi-sensor image data is becoming a widely used procedure of the complementary nature of various data sets. Ideally, the merging method should not distort the characteristics of the high-spatial and high-spectral resolution data used. To present an effective merging method for survey of reclaimed land, this paper compares the results of Intensity Hue Saturation (IHS), Principal Component Analysis (PCA), Color Normalized(CN) and High Pass Filter(HPF) methods used to merge the information contents of the high-resolution (6.6 m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSAT-1) and the multi-spectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data. The comparison is made by visual evaluation of three-color combination images of IHS, PCA, CN and HPF results based on spatial and spectral characteristics. The use of a contrasted EOC panchromatic image as a substitute for intensity in merged images with MODIS bands 1, 2 and 3 was found to be particularly effective in this study.

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