• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.945-961
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• 2019

Tongue diagnosis is one of the most important diagnostic methods in Traditional Chinese Medicine (TCM). Tongue image segmentation aims to extract the image object (i.e., tongue body), which plays a key role in the process of manufacturing an automated tongue diagnosis system. It is still challenging, because there exists the personal diversity in tongue appearances such as size, shape, and color. This paper proposes an innovative segmentation method that uses image thresholding, gray projection and active contour model (ACM). Specifically, an initial object region is first extracted by performing image thresholding in HSI (i.e., Hue Saturation Intensity) color space, and subsequent morphological operations. Then, a gray projection technique is used to determine the upper bound of the tongue body root for refining the initial object region. Finally, the contour of the refined object region is smoothed by ACM. Experimental results on a dataset composed of 100 color tongue images showed that the proposed method obtained more accurate segmentation results than other available state-of-the-art methods.

• Journal of Multimedia Information System
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• 제5권4호
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• pp.221-228
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• 2018

Skin-color information is not sufficient for palmprint segmentation in complex scenes, including mobile environments. Traditional active shape model (ASM) combines gray information and shape information, but its performance is not good in complex scenes. An improved ASM method is developed for palmprint segmentation, in which Perux method normalizes the shape of the palm. Then the shape model of the palm is calculated with principal component analysis. Finally, the color likelihood degree is used to replace the gray information for target fitting. The improved ASM method reduces the complexity, while improves the accuracy and robustness.

• 농업과학연구
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• 제37권2호
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• pp.303-308
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• 2010

Surface color is the most important quality factor for the grade evaluation of cherry tomato. Color is one of the representative indicators for the maturity which is closely related to the internal quality of cherry tomato, such as firmness, sugar content, and acidity. This study was carried out to investigate the relationship between surface color and internal quality of cherry tomatoes harvested from both hydroponic and soil culture at different ripening stages. To calculate the color values of cherry tomatoes an automatic color imaging system was constructed. A specially designed image processing algorithm for the color measurement was developed. The color values of L*, a*, b* were calculated from the initial color values of RGB and then compared with the internal quality. Statistical analyses indicated that the internal quality was more highly correlated with the surface color than size of cherry tomatoes. Color image features were also investigated to detect external damage of cherry tomatoes. The value of (R value - R mean value)/R mean value was the most effective image feature for the detection of damaged areas on the surface of cherry tomatoes. The results of this study demonstrated the feasibility of color sorting process as an alternative of the conventional drum type size sorting system for cherry tomato industry.

• Journal of Biosystems Engineering
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• 제26권3호
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• pp.253-262
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• 2001

This study was conducted to develop the vision system of a robotic transplanter for plug-seedling. A color image processing algorithm was developed to identify and locate empty cells and bad plants in the seedling tray. The image of pepper and tomato seedling tray was segmented into regions of plants, frame and soil using threshold technique which utilized Q of YIQ for finding leaves and H of HSI for finding frame of tray in the color coordinate system. The recognition system was able to successfully identify empty cells and bad seeding and locate their two-dimensional locations. The overall success rate of the recognition system was about 99%.

• 디지털콘텐츠학회 논문지
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• 제4권1호
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• pp.11-21
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• 2003

컴퓨터 비전 분야에 있어서 컬러 영상이 보다. 많은 정보를 포함하고 있음에도 불구하고 90년대 후반까지는 주로 흑백 영상(gray level image)을 대상으로 하여 연구가 이루어져 왔으며, 2000년대 들어서야 컬러 영상(color image)에 대한 연구가 활발히 진행되기 시작했다. 그 동안의 연구 결과들은 흑백 영상에서도 깊이 추정에 필요한 정보를 충분히 얻을 수 있음을 보여주지만 보다 나은 결과를 위해 컬러 정보의 이용은 필수적이다. 본 논문에서는 Opponet Color Model(OCM)에 기반한 에지 추출 기법을 제안 한다. Opponet Color Model이란 인간의 컬러 인식 과정을 연구하던 중 개발된 모델로서 망막의 세포에 감지된 영상이 뇌에 전달되기까지의 과정을 실제로 모델링 한다. 일반적으로 인간의 뇌는 눈으로부터 오는 적(red), 녹(green), 청(blue)의 정보를 각각 따로 입력 받아 컬러를 인식한는 것으로 알려져 있다. 그러나 OCM은 컬러 정보가 전달되는 과정에서 중간의 매개 세포를 거침으로 해서 어떠한 변화가 가해짐을 보여주는데 이러한 과정을 Opponet Color Processing이라 한다. 본 논문에서는 컬러 영상을 이용함에 있어 이미 기존의 여러 모델이 존재 하나 Opponet Color Model에 기반한 에지 추출 기법이 보다 우수함을 보인다.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.991-1000
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• 2020

We propose a content-based image retrieval system that uses a combination of completed local binary pattern (CLBP) and color autocorrelogram. CLBP features are extracted on a multi-resolution multi-direction filtered domain of value component. Color autocorrelogram features are extracted in two dimensions of hue and saturation components. Experiment results revealed that the proposed method yields a lot of improvement when compared with the methods that use partial features employed in the proposed method. It is also superior to the conventional CLBP, the color autocorrelogram using R, G, and B components, and the multichannel decoded local binary pattern which is one of the latest methods.

• KEPCO Journal on Electric Power and Energy
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• 제2권2호
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• pp.293-298
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• 2016

Recently, interests for maintenance of transmission tower are increasing to extend life of structures and reduce maintenance cost. However, existing classical diagnosis method of corrosion deteriorated degree on the transmission tower steel members, visual inspection, has a problem that error often due to difference of inspector's individual knowledge and experience. In order to solve the problem, this study carried out to develop the corrosion deterioration inspection tool for transmission tower steel members. This tool is composed of camera equipment and computer-aided diagnosis system. We standardized the photographing method by camera equipment to obtain suitable pictures for image processing. Diagnosis system was designed to evaluate automatically degree of corrosion deterioration for member of transmission tower on the basis of the RGB color image processing techniques. It is anticipated that developed the corrosion deterioration inspection tool will be very helpful in decision of optimal maintenance time for transmission tower corrosion.

• Smart Structures and Systems
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• 제17권6호
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• pp.935-956
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• 2016

With the help of advanced image acquisition and processing technology, the vision-based measurement methods have been broadly applied to implement the structural monitoring and condition identification of civil engineering structures. Many noncontact approaches enabled by different digital image processing algorithms are developed to overcome the problems in conventional structural dynamic displacement measurement. This paper presents three kinds of image processing algorithms for structural dynamic displacement measurement, i.e., the grayscale pattern matching (GPM) algorithm, the color pattern matching (CPM) algorithm, and the mean shift tracking (MST) algorithm. A vision-based system programmed with the three image processing algorithms is developed for multi-point structural dynamic displacement measurement. The dynamic displacement time histories of multiple vision points are simultaneously measured by the vision-based system and the magnetostrictive displacement sensor (MDS) during the laboratory shaking table tests of a three-story steel frame model. The comparative analysis results indicate that the developed vision-based system exhibits excellent performance in structural dynamic displacement measurement by use of the three different image processing algorithms. The field application experiments are also carried out on an arch bridge for the measurement of displacement influence lines during the loading tests to validate the effectiveness of the vision-based system.

• 한국인쇄학회지
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• 제12권1호
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• pp.57-68
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• 1994

In the last decade, digital image processing technics have been rapidly developed according to the advancement of electronic technique, and total scanner and DTP system were developed. Specially, there is need to retouch the color and image on the CRT. In this paper, we described a method to display surface color of printing on the CRT, and an algorithm to simulate the color reproduction by offset printing. The experimental results show that the described method and algorithm are useful and valid on the computer simulation of the multi-color printing adapted process ink characteristics.

• 전자공학회논문지D
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• 제36D권11호
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• pp.71-81
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• 1999

본 논문에서는 새로운 직접 접근 방법과 이진 영상처리를 통해 컬러 영상을 저장하고 재생할 수 있는 디지털 홀로그래픽 정보 저장 시스템을 구현하였다. 직접 접근 방법을 통해 영상 처리를 수행한 결과, raw 파일을 이용하여 영상처리를 수행하는 것보다 광메모리에 저장되는 페이지 수르르 줄일 수 있었으며, 압축된 $128{\times}80{\times}256$ (6.6KB) 해상도의 컬러 영상을 재생할 수 있었다. 또한 문자 파일이나 동영상 파일등과 같이 파일의 종류에 관계없이 입력 데이터가 디지털 홀로그램으로 변환될 수 있음을 보여주었다.