• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.304-313
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• 2019

Centered on top ten brands of jasmine tea in China "Zhang Yiyuan(張一元), Wu Yutai(吳裕泰), EFUTON (藝福堂), Shumingrun(蜀茗潤), Chunlun(春倫),Jinghua(京華),Bitan Piaoxue(碧潭飄雪), Tenfuku meicha(天福茗茶), Xiao Guan Tea(小罐茶),China Tea(中茶)", this paper has summarized four elements of packaging design (logo, color, layout, shape), developed a questionnaire of consumer preference degree on this basis, and conducted reliability and validity analysis. According to the questionnaire survey, the most popular logo is the "Xiao Guan Tea", and the most popular color among all six colors is the gray group. Among the eight lay outs of the jasmine tea package, the most popular lay out is the type 2 and the most popular package shape is shape 2 (rectangle).In conclusion, this paper has analyzed consumer preferences for packaging design of jasmine tea gift box based on the questionnaire survey results.

• Fire Science and Engineering
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• v.25 no.3
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• pp.99-106
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• 2011

Experiments of Cone calorimeter test and Lift spread flame apparatus test are carried out in order to appraise fire hazard in color nonwoven used mostly on the spot in construction works. As the result, in color nonwoven combustibility is discovered not firing flame in surface, but firing under state of combustible gas occuring in the state of melting. In the case of Lift spread flame apparatus test, color nonwoven is very brittle which almost no flame spread owing to contracting and break by firing strength. The following data are agree with basis: total heat release is 2.66 MJ/$m^2$, limited combustible material (10 min) of incombustible rating appraisal in interior material of building, and incombustible materials (5 min) 8 MJ/$m^2$ in spite of the above data mentioned, those data are only as basis of interior finish, and so I cannot judge color nonwoven have incombustible rating retain through the above data. Accordingly, the basis of incombustible rating and experiment method about exterior finish must be arranged also.

• The KIPS Transactions:PartB
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• v.10B no.2
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• pp.179-188
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• 2003

In content-based image retrieval, the query is an image itself and the retrieval process is the process that seeking the similar images to the given query image. In this way of retrieval, the user has to know the basic physical features of target images that he wants to retrieve. But it has some restriction because to retrieve the target image he has to know the basic physical feature space such as color, texture, shape and spatial relationship. In this paper, we propose an emotion-based retrieval system. It uses the emotion that color images have. It is different from past emotion-based image retrieval in point of view that it uses relevance feedback to estimate the users intend and it is easily combined with past content-based image retrieval system. To test the performance of our proposed system, we use MPEG-7 color descriptor and emotion language such as "warm", "clean", "bright" and "delight" We test about 1500 wallpaper images and get successful result.lpaper images and get successful result.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9B
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• pp.1731-1741
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• 1999

Color images are often corrupted by the noise due to noisy sensors or channel transmission errors. Some filters such as vector media and vector $\alpha$-trimmed mean filter have bee used for color noise removal. In this paper, We propose the fuzzy cluster filters based on the possibilistic c-means clustering, because the possibilistic c-means clustering can get robust memberships in noisy environments. Also, we propose weighted vector $\alpha$-trimmed mean filter to improve the conventional vector $\alpha$-trimmed mean filter. In this filter, the central data are more weighted than the outlying data. In this paper, we implemented the color noise generator to evaluate the performance of the proposed filters in the color noise environments. The NCD measure and visual measure by human observer are used for evaluation the performance of the proposed filters. In the experiment, proposed fuzzy cluster filters in the sense of NCD measure gave the best performance over conventional filters in the mixed noise. Simulation results showed that proposed weighted vector $\alpha$-trimmed mean filters better than the conventional vector $\alpha$-trimmed mean filter in any kinds of noise.

• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.27-32
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• 2004

If the areas existing in an object are composed of different color sets, the applicable object is segmented into independent areas so it gets to lose the meaning as an object. Therefore, it is required to selectively apply other information on the areas in addition to color information. Based on this methodology, this study, in addition to color information, has also analyzed the shape of isophotes that connect equivalence of brightness as a way of expressing cubic effect. And, through the analyzed information, it has judges independence or dependence of the areas, and then, proposed a way of object separation through significant regional matching of an object.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.53-62
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• 2012

Object segmentation is a demanding research area and not a trivial problem of image processing and computer vision. Tremendous segmentation algorithms were addressed on gray-scale (or biomedical) images that rely on numerous image features as well as their strategies. These works in practice cannot apply to natural color images because of their negative effects to color values due to the use of gray-scale gradient information. In this paper, we proposed a new approach for color object segmentation by modifying a geometric active contour model named distance regularized level set evolution (DRLSE). Its speed function will be designed to exploit as much as possible color gradient information of images. Finally, we provide experiments to show performance of our method with respect to its accuracy and time efficiency using various color images.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.57-63
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• 2009

The rapid growth of computer-based image database, necessity of a system that can manage an image information is increasing. This paper presents a region-based image retrieval method using the combination of color(autocorrelogram), texture(CWT moments) and shape(Hu invariant moments) features. As a color feature, a color autocorrelogram is chosen by extracting from the hue and saturation components of a color image(HSV). As a texture, shape and position feature are extracted from the value component. For efficient similarity confutation, the extracted features(color autocorrelogram, Hu invariant moments, and CWT moments) are combined and then precision and recall are measured. Experiment results for Corel and VisTex DBs show that the proposed image retrieval algorithm has 94.8% Precision, 90.7% recall and can successfully apply to image retrieval system.

• Journal of Broadcast Engineering
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• v.13 no.2
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• pp.236-244
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• 2008

We propose a new building detection and description algorithm for Lidar data and photogrammetric imagery using color segmentation, line segments matching, perceptual grouping. Our algorithm consists of two steps. In the first step, from the initial building regions extracted from Lidar data and the color segmentation results from the photogrammetric imagery, we extract coarse building boundaries based on the Lidar results with split and merge technique from aerial imagery. In the secondstep, we extract precise building boundaries based on coarse building boundaries and edges from aerial imagery using line segments matching and perceptual grouping. The contribution of this algorithm is that color information in photogrammetric imagery is used to complement collapsed building boundaries obtained by Lidar. Moreover, linearity of the edges and construction of closed roof form are used to reflect the characteristic of man-made object. Experimental results on multisensor data demonstrate that the proposed algorithm produces more accurate and reliable results than Lidar sensor.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.1-13
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• 2002

In this paper, we propose an object tracking system which can be convinced of moving area shaped on objects through color sequential images, decided moving directions of foot messengers or vehicles of image sequences. In static camera, we suggests a new evaluating method extracting co-occurrence matrix with feature vectors of RGB after analyzing and blocking difference images, which is accessed to field of camera view for motion. They are energy, entropy, contrast, maximum probability, inverse difference moment, and correlation of RGB color vectors. we describe how to analyze and compute corresponding relations of objects between adjacent frames. In the clustering, we apply an algorithm of FCM(fuzzy c means) to analyze matching and clustering problems of adjacent frames of the featured vectors, energy and entropy, gotten from previous phase. In the matching phase, we also propose a method to know correspondence relation that can track motion each objects by clustering with similar area, compute object centers and cluster around them in case of same objects based on membership function of motion area of adjacent frames.

• 전기의세계
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• v.24 no.2
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• pp.5-8
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• 1975

현재의 텔레비죤은 보도, 교육, 오락, 교양 등의 넓은 면에 결쳐서 우리의 일상생활과 깊은 관계를 갖고 있다. 그러면 이 텔레비는 앞으로도 현재의 형태를 그대로 계속해 갈 것인지 그 전망을 가정용 텔레비를 중심으로 간략하게 살펴보기로 한다. 텔레비와 형제지간의 관계에 있는 라디오는 중파 이외에도 음질이 좋은 FM방송이 출현하고 더욱이 2챤넬, 스테레오방송 및 4챤넬, 스테레오방송과 같은 순으로 발전해 왔다. FM스테레오의 음질은 원음과의 상이점을 논의하기 어려울 정도로 원음에 충실하고 예술감상의 가치가 있을 정도로 고품위가 되고 있다. 텔레비의 경우에 이상적으로 생각되는 것은 시시가가으로 변화하는 광경을 순시에 멀리 전송하고 원경과 똑같은 광경을 재현시키는 것일 것이다. 이 이상으로 가는 단계는 다음과 같이 네가지가 있다. (1)흑백 텔레비 (2)칼라 텔레비 (3)고정세도 와이드 텔레비 (4)입체 텔레비 현재는 (2)의 칼라 텔레비의 단게에 있으며 화질과 색재현의 충실도는 수신기에 따라 차이가 있으나 조건이 좋으면 꽤 양호한 색의 재현이 된다. 그러나 화면의 선기도, 박력, 아름다움 등에서 영화나 인쇄에 미치지 못하는 상태에 있다.