• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.33-40
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• 2017

In this paper, we propose a text extraction method by pattern analysis on contour for effective text detection in image. Text extraction algorithms using edge based methods show good performance in images with simple backgrounds, The images of complex background has a poor performance shortcomings. The proposed method simplifies the color of the image by using K-means clustering in the preprocessing process to detect the character region in the image. Enhance the boundaries of the object through the High pass filter to improve the inaccuracy of the boundary of the object in the color simplification process. Then, by using the difference between the expansion and erosion of the morphology technique, the edges of the object is detected, and the character candidate region is discriminated by analyzing the pattern of the contour portion of the acquired region to remove the unnecessary region (picture, background). As a final result, we have shown that the characters included in the candidate character region are extracted by removing unnecessary regions.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.589-598
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• 2002

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.366-368
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• 2018

본 논문에서는 이러한 문제점을 개선하기 위해 상완 동맥 영역에 대한 RGB 채널을 HSV 채널로 변환한다. 변환된 HSV 채널에 대해 고혈압 영역의 특징을 강조하게 하기 위해 밝기 값을 나타내는 V값을 조절한다. 조절된 HSV 채널을 다시 RGB 채널로 변환한 후, Fuzzy C_Means 기반 무게중심과 Possibilistc C_Means 기반 무게 중심을 기반으로 새로운 무게 중심을 구하여 픽셀들을 클러스터링하여 상완동맥 영역의 고혈압 영역을 추출한다. 추출된 상완 동맥의 고혈압 영역에 대해 헤모글로빈 색소 정보를 나타내는 IHb 값을 이용하여 상완 동맥의 고혈압 영역에서 유사한 헤모글로빈 색소 정보를 가지는 영역을 분할한다. 분할된 영역들을 혈류의 속도를 나타내는 색상표와 대조하여 고혈압의 진행에 대해 분석하는 방법을 제안한다. 제안된 방법을 색조 도플러 초음파 영상을 대상으로 실험한 결과, 제안된 방법이 고혈압의 진행에 대한 분석 결과와 색조 도플러 초음파 영상 장비에 나타난 고혈압 진행 결과와 거의 일치하는 것을 확인할 수 있었다.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1232-1235
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• 2009

Image compression techniques such as JPEG and MPEG induce losses of image quality. These losses are usually investigated on the spatial distortions from reconstructed images. Representative specifications are blocking artifacts, color bleeding and smearing. However, the compression techniques also influence the color information. The distortion of color information means distortion of gamut characteristics such as gamut size and unique color from the CIELAB values for each pixel in the reconstructed images. Accordingly, this paper introduces the investigation of the relationship between image compression and the gamut characteristics for reconstructed images using MPEG compression. The results show the consist variation of gamut, hue, and chroma due to MPEG compression.

• Journal of the Korean Institute of Telematics and Electronics
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• v.25 no.12
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• pp.1548-1558
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• 1988

In this paper, a segmentation algorithm for color images based on the scale-space filter and the Fuzzy c-means (FCM) techniques is proposed. The methodology uses a coarse-fine concept to reduce the computational burden required for the FCM. The coarse segmentation attempts to segment coarsely using a thresholding technique, while a fine segmentation assigns the unclassified pixels by a coarse segmentation to the closest class using the FCM. Attempts also have been made to compare the performance of the proposed algorithm with other algorithms such as Ohlander's, Rosenfeld's, and Bezdek's. Intensive computer simulations has been done and the results are discussed in the paper. The simulation results indicate that the proposed algorithm produces the most accurate segmentation on the O-K-S color coordinate while requiring a reasonable amount of computational effort.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.3 s.3
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• pp.68-73
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• 2004

The purpose of this study was to review the changes of hair colors by means of powder decolorant and oxidizers. For this purpose, a questionnaire survey on uses of powder decolorant and oxidizers was conducted, and the collected data thereby were analyzed. This study was concluded as follows; First, it was confirmed that when the hydrogen peroxide was used alone, the hair color was not changed however its concentration was high. Second, when powder decolorant and hydrogen peroxide were mixed at the ratio of 1:2, it was found that the higher the concentration of hydrogen peroxide was, hair color was changed more. Third, it was confirmed that the hair color became brighter when hairs were decolored three times serially. Fourth, it was found that hairs became tougher when the concentration of hydrogen peroxide was higher and when hairs were decolored many times serially.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.73-82
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• 2005

This paper proposes a multi-level thresholding method using weighted FCM(Fuzzy C-Means) algorithm in color image. FCM algerian determines a more optimal thresholding value than the existing methods and can extend to multi-level thresholding. But FCM algerian is sensitive to noise because it doesn't include spatial information. To solve the problem, we can remove noise by applying a weight based on entropy that is obtained from neighboring pixels to FCM algerian. And we determine the optimal cluster number by using within-class distance in code image based on the clustered pixels of each color component. In the experiments, we show that the proposed method is more tolerant to noise and is more superior than the existing methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.655-656
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• 2010

Color association is reminding you that is related to the means, events, or experience by the color impression. These kinds of associations was largely concrete association and abstract associations. In this paper, look at the features and examples of concrete association and abstract associations, and look at the abstract association and the concrete associations of typical colors. In addition, find out about the similarities and difficulties or color association.

• Journal of the Korean Graphic Arts Communication Society
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• v.21 no.2
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• pp.31-42
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• 2003

The optimum color proofing system with the similar colorants to the printing system has to be used in high quality offset color printing. And so, the evaluation on color reproduction properties of the colorants for proofer and press are very important. In this paper, the optimum color proofing method is recommended by means of colorimeric comparative evaluation on the color reproduction properties such as color gamut, color difference, hue error of the colorants for the proofing system of CRT monitor, inkjet printer, dye sublimation type digital proofer, and the actual printing system of offset press.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.547-555
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• 2014

This paper presents a method for hand segmentation using depth information, and adaptive threshold by means of histogram analysis and color clustering in HSV color model. We consider hand area as a nearer object to the camera than background on depth information. And the threshold of hand color is adaptively determined by clustering using the matching of color values on the input image with one of the regions of hue histogram. Experimental results demonstrate 95% accuracy rate. Thus, we confirmed that the proposed method is effective for hand segmentation in variations of hand color, scale, rotation, pose, different lightning conditions and any colored background.