• 한국염색가공학회지
• /
• 제22권1호
• /
• pp.28-36
• /
• 2010

The deep black coloration of polyester fabrics was obtained by the physical properties of color and color mixing system. In this experiment, we have measured the absorbance and the reflectance of various disperse dyes for accomplishing the lowest lightness value and uniform reflectance, and new matching algorithm and computer color matching was made. The matching used both isomeric and metameric matching. The color matching of deep black color represented low lightness. Though actual reflectance of dyed polyester fabrics using these matching results was as high as theoretical one, low lightness value($L^*$) and uniform appearance were achieved.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2000년도 추계학술대회 논문집 학회본부 D
• /
• pp.747-749
• /
• 2000

In this paper, we proposed color stereo matching algorithm using dynamic programming. The conventional gray stereo matching algorithms show blur at depth discontinuities and non-existence of matching pixel in occlusion lesions. Also it accompanies matching error by lack of matching information in the untextured region. This paper defines new cost function makes up for the problems happening in conventional gray stereo matching algorithm. New cost function contain the following properties. I) Edge points are corresponded to edge points. ii) Non-edge points are corresponded to non-edge points. iii) In case of exiting the amount of edges, the cost function has some weight in proportion to path distance. Proposed algorithm was applied in various images obtained by parallel camera model. As the result, proposed algorithm showed improved performance in the aspect of matching error and processing in the occlusion region compared to conventional gray stereo matching algorithms.

• 한국컴퓨터정보학회논문지
• /
• 제8권2호
• /
• pp.82-87
• /
• 2003

본 논문에서는 자수로봇 제어를 위한 컬러처리 매칭방법을 제안하였다. 디자이너가 작업한 작품을 스캐너를 통하여 입력하거나 또는 컴퓨터 그림파일로 직접 입력받고 자수로봇을 통하여 재현하기 위하여 자수 로봇용 색실과 매칭되는 컬러를 본 논문에서 제안한 방법을 통하여 선택한다. 본 연구에서는 사용가능한 색실의 컬러 중에서 가장 유사한 색실을 찾는 방식으로 원본에 근접한 컬러를 찾는 방법을 제안하였다. CIE 컬러공간에서 근접한 컬러가 복수개인 경우 우월 컬러를 검출하기 위한 처리과정을 추가한다. 컬러 디더링 방법을 사용하면 좀더 충실한 컬러를 재현할 수 있을 것이다.

• 로봇학회논문지
• /
• 제8권2호
• /
• pp.82-91
• /
• 2013

This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.

• 한국염색가공학회지
• /
• 제13권6호
• /
• pp.397-404
• /
• 2001

The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn't exist in the region of color region 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphors of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

• 한국염색가공학회지
• /
• 제13권6호
• /
• pp.39-39
• /
• 2001

The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on Illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn′t exist in the region of color region. 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphers of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

• 한국컴퓨터정보학회논문지
• /
• 제20권5호
• /
• pp.65-72
• /
• 2015

본 논문에서는 색맹인 사람들을 위한 스마트 폰 기반 색상 매칭 기법을 제안한다. 색맹인 사람들을 위해 기존 연구로 모바일 기반 애플리케이션들이 제공되기는 하였으나, 대부분의 연구가 사진 촬영 후 색상의 값, 이름만 제공할 뿐 동일 색상을 실시간으로 비교하지 못하는 불편함이 있다. 이러한 불편함을 해소하기 위해 우리는 스마트 폰의 카메라로 색상 비교를 위해 사진을 촬영하여 화면 옆에 두고, 실시간 입력되는 카메라 영상을 비교하여 유사 색상을 알려줌으로써 실시간 비교가 가능한 색상 매칭 알고리즘과 이를 이용한 애플리케이션을 개발하였다. 색상 매칭 알고리즘은 실시간 비교를 위해 Red, Green, Blue 그리고 Hue 값을 이용하여 코사인 유사도를 계산하며, 유사도 값에 따라 매칭 결과를 실시간으로 알려준다. 제안 방법의 성능을 판단하기 위해 색상 매칭 실험을 하였으며, 그 결과 매칭 성공률은 약 98%를 나타냈다. 따라서 제안 방법은 색맹인 사용자가 스마트 폰을 이용하여 자신이 원하는 색을 찾는데 효과적인 기법이 될 것이다.

• 한국염색가공학회지
• /
• 제17권4호
• /
• pp.7-14
• /
• 2005

The purpose of this study was to develop the color matching program with the excellent camouflage capacity in the near infrared range($\~$1100nm) including the visible light range for cotton fabrics. It was measured IR spectral reflectance in the range of $380\~1,100nm$ after dyed with vat dyes, and we made database for reflectance with various concentration on vat dyes which have a low reflectance value in the infrared range. The color matching algorithm that could be simulated in both the human visible light and the near infrared range was constructed by numerical analysis method using the database. In this study we also developed the dyeing conditions and dyeing process through the continuous-dyeing experiment with the vat dyes for cotton fabrics.

• 반도체디스플레이기술학회지
• /
• 제9권3호
• /
• pp.65-69
• /
• 2010

The stereoscopic vision system is the algorithm to obtain the depth of target object of stereo vision image. This paper presents an efficient disparity matching method using nagao filter, octree color quantization and dynamic programming algorithm. we describe methods for performing color quantization on full color RGB images, using an octree data structure. This method has the advantage of saving a lot of data. We propose a preprocessing stereo matching method based on Nagao-filter algorithm using color information. using the nagao filter, we could obtain effective depth map and using the octree color quantization, we could reduce the time of computation.

• 융합신호처리학회논문지
• /
• 제7권1호
• /
• pp.11-16
• /
• 2006

To manipulate large video databases, effective video indexing and retrieval are required. A large number of video indexing and retrieval algorithms have been presented for frame-w]so user query or video content query whereas a relatively few video sequence matching algorithms have been proposed for video sequence query. In this paper, we propose an efficient algorithm to extract key frames using color histograms and to match the video sequences using edge features. To effectively match video sequences with low computational load, we make use of the key frames extracted by the cumulative measure and the distance between key frames, and compare two sets of key frames using the modified Hausdorff distance. Experimental results with several real sequences show that the proposed video retrieval algorithm using color and edge features yields the higher accuracy and performance than conventional methods such as histogram difference, Euclidean metric, Battachaya distance, and directed divergence methods.