• The Journal of the Korea Contents Association
• /
• v.7 no.2
• /
• pp.109-116
• /
• 2007

To reduce the effect of color distortions on reading colors, it is more desirable to statistically process as many pixels in the individual color region as possible. This process may require segmentation, which usually requires edge detection. However, edges in color codes can be disconnected due to various distortions such as dark current, color cross, zipper effect, shade and reflection, to name a few. Edge linking is also a difficult process. In this paper, k-means clustering was performed on the images where edge detectors failed segmentation. Experiments were conducted on 311 images taken in different environments with different cameras. The primary and secondary colors were randomly selected for each color code region. While segmentation rate by edge detectors was 89.4%, the proposed method increased it to 99.4%. Color recognition was performed based on hue, a*, and b* components, with the accuracy of 100% for the successfully segmented cases.

• KSCI Review
• /
• v.8 no.2
• /
• pp.9-14
• /
• 2001

본 논문에서는 새로운 칼라 모폴로지 피라미드를 제안하고. 제안된 칼라 모폴로지의 유용성 평가를 위해 이미지에서 중요한 에지를 검출하고자 한다. 여기서 이미지 피라미드 구조는 최초 컬러 이미지의 반복적인 필터링과 샘플링의 순차적인 실험 과정의 단계를 본 논문에서 제안한 CMP를 이용하여 연속적인 필터링 처리로 불필요한 크기의 물체 및 잡음을 제거하여. 효율적인 특징 추출의 유효성을 검증하고자 한다.

• The KIPS Transactions:PartB
• /
• v.11B no.1
• /
• pp.21-26
• /
• 2004

Color image quantization is a process of selecting a set of colors to display an image with some representative colors without noticeable perceived difference. It is very important in many applications to display a true color image in a low cost color monitor or printer. The basic problem is how to display 256 colors or less colors, called color palette, In this paper, we propose improved binary tree vector quantization based on spatial sensitivity which is one of the human visual properties. We combine the weights based on the responsibility of human visual system according to changes of three Primary colors in blocks of images with the process of splitting nodes using eigenvector in binary tree vector quantization. The test results show that the proposed method generates the quantized images with fine color and performs better than the conventional method in terms of clustering the similar regions. Also the proposed method can get the better result in subjective quality test and WSNR.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.1
• /
• pp.253-260
• /
• 1999

In this paper, we suggest a new direct method for mage segmentation using texture and color information combined through a multivariate linear discriminant algorithm. The color texture is computed in nin 3${\times}$3 masks obtained from each 3${\times}$3${\times}$3 spatio-spectral neighborhood in the image using the classical haralick and Pressman texture features. Among these 9${\times}$28 texture features the best set was extracted from a training set. The resulting set of 10 features were used to segment an image into four different regions. The resulting segmentation was Compared to classical color and texture segmentation methods using both box classifiers and maximum likelihood classification. It compared favourably on the test image from a Fastred-Lightgreen stained prostatic histological tissue section based on visual inspection. The classification accuracy of 97.5% for the new method obtained on the training data was also among the best of the tested methods. If these results hold for a larger set of images, this method should be a useful tool for segmenting images where both color and texture are relevant for the segmentation process.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.43 no.2 s.308
• /
• pp.63-71
• /
• 2006

Denoising and reconstruction of color images are extensively studied in the field of computer vision and image processing. Especially, denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noise on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps: training of canonical eigenface space using PCA, automatic extraction of facial features using active appearance model, relishing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denoising method maintains the structural characteristics of input faces, while efficiently removing complex color noise.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.4
• /
• pp.331-335
• /
• 2018

Zantedeschia spp. calla is very popular as a cut flower. It is very important to establish a micro propagation system through plant tissue culture with the problem that colored calla with various colors are low in natural reproduction rate and vulnerable to high temperature. In this study, we conducted the experiment by adding taurine to improve the growth of calla plant. When 20 mg/L of taurine was added with plant growth effect, 54.0 % of the cases of multiple shoots and 17.2 times of fresh weight were the most effective. Taurine 20 mg/L treatment showed 16.0 % and 39.2 %, respectively, than the untreated control. Taurine may contribute to mass propagation of elite breeding lines as well as an improvement of farm income by positively influencing the overall growth of calla plants, thereby positively affecting the establishment of the micro propagation system of calla shoot tips.

• Archives of design research
• /
• v.15 no.2
• /
• pp.169-176
• /
• 2002

The purpose of this paper is to describe and predict the color trends of the handy electronic plastics product materials using design management based on a field survey in Korea and Japan. It is attempted to suggest more rational, systematic design process management of Korean firms, and to provide sharing of design knowledge management system among small businesses, home appliances, and the related organizations. Results of color trends survey shown plastics materials are cybertic, purity, and colorful trends. In addition, as emotional marketing strategy the trends of color and face processing are high quality, variety, and difference. Finally, this paper also suggests the way of DB building of color trends.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.1
• /
• pp.33-42
• /
• 2005

Identifying color codes needs precise color information of their constituents, and is far from trivial because colors usually suffer severe distortions throughout the entire procedures from printing to acquiring image data. To accomplish accurate identification of colors, we need a reliable segmentation method to separate different color regions from each other, which would enable us to process the whole pixels in the region of a color statistically, instead of a subset of pixels in the region. Color image segmentation can be accomplished by performing edge detection on component image(s). In this paper, we separately detected edges on component images from RGB, HSI, and YIQ color models, and performed mathematical analyses and experiments to find out a pair of component images that provided the best edge image when combined. The best result was obtained by combining Y- and R-component edge images.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2001.04b
• /
• pp.863-866
• /
• 2001

본 논문에서는 관련성 귀환을 가진 칼라와 질감기반의 영상검색 시스템에 대하여 연구하였다. 먼저 영상데이터베이스 내에 있는 영상들에 대하여 칼라특징, 질감특징을 추출하고 추출된 특징 값을 다양한 형태로 영상검색에 이용하였다. 그리고 초기 검색결과에 대하여 사용자 평가를 관련성 귀환을 통하여 영상검색 시스템에 적용하고, 개선된 결과를 얻었다. 16종류의 다양한 영상으로 구성된 영상 데이터베이스에 대하여 실험한 결과, 제안된 방법은 INRIA의 방법보다 각 귀환단계에서 약 10%$\sim$l6% 이상의 높은 검색율을 보였다.

• Proceedings of the Korea Institute of Convergence Signal Processing
• /
• 2006.06a
• /
• pp.33-36
• /
• 2006

본 논문은 에지부분에서 뚜렷한 영상의 복원이 가능하도록 하는 칼라 영상의 비선형 보간 기법에 관한 것이다. 일반적으로 칼라영상을 구성하고 있는 성분중 휘도신호(Y)가 에지(edge)성분에 충실한 정보를 갖고 있다는 점에 착안하여 알고리즘 연구를 수행하였다. 일반적인 선형 보간 방법을 사용할 시 영상에서 고주파 대역의 손실을 일으키므로 영상의 화질 열화가 발생한다. 이를 보완하기 위해 본 논문에서는 비선형 보간법인 에지 방향성 보간 방법을 제안하였다 또한 조밀한 에지 영역에서의 에지 방향성 보간의 단점을 극복하기 위해 선형 보간과 에지방향성 보간 기법의 혼합을 통한 화질 열화 제거 기법을 제안한다.