• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 1999.05a
• /
• pp.50-54
• /
• 1999

This paper is proposed to image retrieval system using color and shape feature. Color feature used to four maximum value feature among the maximum value extracted from local color distribution histogram. The preprocessing of shape feature consist of edge extraction and weight central point extraction and angular sampling. The sum of distance from weight central point to contour and variation and max/min used to shape feature. The similarity is estimated compare feature of query image with the feature of images in database and the candidate of image is retrieved in order of similarity. We evaluate the effectiveness of shape feature and color feature in experiment used to two hundred of the closed image. The Recall and the Precision is each 0.72 and 0.53 in the result of average experiment. So the proposed method is presented useful method.

• Journal of Korea Soil Environment Society
• /
• v.3 no.1
• /
• pp.3-9
• /
• 1998

This paper presents soil-gas surveying technique to delineate an area contaminated with volatile organic compounds, which are common solvents and constituents of gasoline. The sampling method of soil-gas surveying is 1) grab sampling, which actively takes sample using a pump, or 2) passive sampling, which takes sample through diffusion in a trap filled with absorbent. The grab sampling shows the level of contamination at a certain location at a certain time, while the passive sampling shows the change in the contamination at a certain location. The analysis of soil gas can be performed with 1) a small portable detectors such as PID (photoionization detector) or FID (flame-ionization detector) to measure the total hydrocarbon in the soil gas, 2) a gas detector tube, which is filled with indicator reagents and changes its color with concentrations of the gas of interest, or 3) a portable GC (gas chromatograph), which can analyze different compounds simultaneously. The soil-gas surveying technique is a much less expensive method to investigate area contaminated volatile organic compounds and thus can be used as a screening tool to identify an area, which needs to be further investigated.

• Bulletin of the Korean Space Science Society
• /
• 1993.10a
• /
• pp.19-19
• /
• 1993

We have developed a new method to simulate the observed color magnitudediagrams for Galactic globular clusters. The model calculations include all evolutionary phases- from zero age main sequence to asymptotic giant branch. Using these models, we can simulate directly the observational errors and sampling effect and also can examine the stellar evolution theory in more$.$ realistic way. Implications of these model calculations on the recent space observations of globular clusters and other systems will be discussed.

• Journal of the Korean Home Economics Association
• /
• v.31 no.2
• /
• pp.177-188
• /
• 1993

To obtain a clear understanding of the degree of effect by the food color in diet habits, this study was a survey of the taste for food color. In this study, the term of investigation was tow months(May and Jun. 1992), the object was 10's∼50's women, and the sampling of them at random contain 100 person, respectively. The data-treatment was determinded by frequency, percentage, SD, Chi-square, Spearman's rank order correlation coefficient, Correlation, F-test as measured by SAS program for PC and statistical figures were obtained by GDAS. The results were as follows; 1. Food color in diet habits. : The relationship of food color with appetite by age group was showed to affect all age groups having more then 90%. The concern for food color by age group showed the lowst teenage having 56.7%, showing more then 70% except teenage. When chosen food, The most important characteristics of food was not age group but taste. In the correlation between characteristics, The correlation between color and form, taste and nutrition was showed affirmative. The difference test for the taste of food color and general color was shown, and the level of significance was chosen at 95%. 2. In the correlation between food color and the sense of emotion, The food color of depression and solitude was purple, the color of sadness and crying was white. But in case of only solitude, A statistical significance was shown. 3. In the investigation of taste for food color, the mean of taste degree was high in red, orange, yellow, yellowish green, green, white and low in blue, black. Their statistical significance was shown between colors but, was not shown between age groups. 4. In the relation of food color and associated with food, the colors of associated with food shown a vast difference with natural food color were blue(85.5%), purple(80.0%), pink(41.7%) and yellow(40.0%) but, A red color was not shown the error rate of associated with food color at all. Almost all kinds of associated with food were fruits and vegetables.

• Archives of design research
• /
• v.11 no.3
• /
• pp.199-206
• /
• 1998

Though development of semantic ratings of color image which is objective, concrete and reflecting our realities is urgent, researches on the area has not been active. To develop concepts and methods on semantic ratings of color image, study subjects, sampling, stimulating tools, analysis methods, and evaluation scale were critically reviewed on the literatures on color image. Planning color of costume commodity requires research on various themes and expanding study subjects into a variety of social strata. According to the context of study, stimulating tools should be selected prudenly, and analysis methods should be scrutinized. Factor analysis was used frequently as analysis method to extract factors associated with color image.

• Journal of KIISE:Software and Applications
• /
• v.29 no.11
• /
• pp.809-817
• /
• 2002

This paper describes a new face detection method that is a pre-processing algorithm for on-line face recognition. To complement the weakness of using only edge or rotor features from previous face detection method, we propose the two types of face detection method. The one is a combined method with edge and color features and the other is a center area color sampling method. To prevent connecting the people's face area and the background area, which have same colors, we propose a new adaptive edge detection algorithm firstly. The adaptive edge detection algorithm is robust to illumination variance so that it extracts lots of edges and breakouts edges steadily in border between background and face areas. Because of strong edge detection, face area appears one or multi regions. We can merge these isolated regions using color information and get the final face area as a MBR (Minimum Bounding Rectangle) form. If the size of final face area is under or upper threshold, color sampling method in center area from input image is used to detect new face area. To evaluate the proposed method, we have experimented with 2,100 face images. A high face detection rate of 96.3% has been obtained.

• Journal of Korea Multimedia Society
• /
• v.17 no.10
• /
• pp.1150-1159
• /
• 2014

This paper proposes a method for extracting tissue cells from an organism image by an electron microscope and getting the whole cell number and the area from the cell. In general, the difference between the cell color and the background is used to extract tissue cell. However, there may be a problem when overlapped cells are seen as a single cell. To solve the problem, we split them by using cell size and curvature. This method has a 99% accuracy rate. To measure the cell area, we compute two areas, the inside and boundary of the cell. The inside is simply calculated by the number of pixels. The cell boundary is obtained by applying super sampling, linear interpolation, and cubic spline interpolation. It improves the error rate, 18%, 19%, and 120% respectively, in comparison to the counting method that counts a pixel area as 1.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.9
• /
• pp.401-410
• /
• 2016

3D registration is a computer vision technique of aligning multi-view range images with respect to a reference coordinate system. Various 3D registration algorithms have been introduced in the past few decades. Iterative Closest Point (ICP) is one of the widely used 3D registration algorithms, where various modifications are available nowadays. In the ICP-based algorithms, the closest points are considered as the corresponding points. However, this assumption fails to find matching points accurately when the initial pose between point clouds is not sufficiently close. In this paper, we propose a new method to solve this problem using the 6D distance (3D color space and 3D Euclidean distances). Moreover, a color segmentation-based adaptive sampling technique is used to reduce the computational time and improve the registration accuracy. Several experiments are performed to evaluate the proposed method. Experimental results show that the proposed method yields better performance compared to the conventional methods.

• Journal of Korea Multimedia Society
• /
• v.4 no.4
• /
• pp.316-323
• /
• 2001

Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends on the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using three-dimensional interpolation.

• ETRI Journal
• /
• v.38 no.5
• /
• pp.858-867
• /
• 2016

A high dynamic range (HDR) video service is an upcoming issue in the broadcasting industry. For compatibility with legacy devices receiving a non-constant luminance (NCL) signal, new tools supporting an HDR video service are required. The current pre-processing chain of HDR video can produce color noise owing to the chroma component down-sampling process for video encoding. Although a luma adjustment method has been proposed to solve this problem, some disadvantages still remain. In this paper, we present an adaptive color noise reduction method for an NCL signal of an HDR video service. The proposed method adjusts the luma component of an NCL signal adaptively according to the information of the luma component from a constant luminance signal and the level of color saturation. Experiment results show that the color noise problem is resolved by applying our proposed method. In addition, the speed of the pre-processing is increased more than two-fold compared to a previous method.