• Management & Information Systems Review
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• v.1
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• pp.401-412
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• 1997

Traditionally, classification of remote sensed image data is one of the important works for image data analysis procedure. So, many researchers have been devoted their endeavor to increasing accuracy of analysis, also, many classification algorithms have been proposed. In this paper, we propose new bands selection method for multispectral bands of remote sensed image data that use rough set theory. Using indiscernibility relations in rough sets, we show that can select the efficient bands of multispectral image data, automatically.

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.194-197
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• 2000

Wavelet transform used for content-based image retrieval has good performance in texture image. Image features for content-based image retrieval are color, texture, and shape. In this paper, we use color feature extracted from HSI color space known as most similar vision system to human vision system and texture feature extracted from wavelet histogram which has multiresolution property. Proposed method is compared with HSI color histogram method and wavelet histogram method. It is shown better performance.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.205-208
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• 1997

Traditionally, classification of remote sensed image data is one of the important works for image data analysis procedure. So, many researchers devote their endeavor to increasing accuracy of analysis, also, many classification algorithms have been proposed. In this paper, we propose new classification method for remote sensed image data that use rough set theory. Using indiscernibility relation of rough sets, we show that can classify image data very easily.

• Journal of the Semiconductor & Display Technology
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• v.19 no.4
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• pp.135-138
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• 2020

This paper suggests a method of automatic clustering to search of relevant digital photos using geo-coded information. The provided scheme labels photo images with their corresponding global positioning system coordinates and date/time at the moment of capture, and the labels are used as clustering metadata of the images when they are in the use of retrieval. Experimental results show that geo-location information can improve the accuracy of image retrieval, and the information embedded within the images are effective and precise on the image clustering.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.11 no.4
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• pp.46-50
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• 2012

Stainless steel and titanium used for orthopedic prosthetic metal, magnetic resonance imaging was measured quantitatively the extent of distortion. Based on reading tests at varying metal magnetic resonance imaging (MRI) were investigated. To two image acquisition conditions for having three metal bodies mutually quantitative it compared analyzed the image of cross direction and the image of lengthwise. As for the distortion of the magnetic resonance image, as for the distortion of image it became small in the order of Clip, Strainless and Titanium. In addition, with T1WI and T2WI which are image acquisition condition T2WI the distortion of image became small. As for the distortion of the image by the metal, you could see the distortion of image in elliptical shape, the metal a bigger image distortion appeared in many parts. If clinical doctor has the condition of the same operation, use the Titanium material, it can, raising the diagnostic value of magnetic resonance image inspection after the operating from Stainless.

• Journal of Fashion Business
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• v.10 no.1
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• pp.79-93
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• 2006

The purpose of this study is to analyze designs of exhibition clothing in terms of the use of Korean image, to review objectively contents about the use of traditional image, understand external elements of works, and give directions and basic data for future works. This study selected the total 250 works as the subject of this study among the collected data. This study classified and examined the use of Korean image found in exhibition clothing according to period, item, line and form, material, technique of expression and accessary between 1996 and 2004. The results of analysis are as follows (1) The most artworks were comprised in adaptation were Choson costume. (2) Most of them were clothing works for female. The item of chima were the most preferred in use. (3) The straight lines are used more frequently than curved lines. Forms of skirts were applied to those of silhouettes, H and A form were common. (4) In terms of materials, traditional materials such as silk, linen and cotton were commonly used. (5) Geometric patterns and plant pattern were found more often than others. (6) In terms of techniques of expression, patchwork was most frequent, quilting, embroidery and pleating were ranked second, third and fourth. (7) In accessaries and other item, gorom were most common and norigae were ranked second. (8) As Korean image has been expressed by fine parts of traditional costumes, the traditional living item, and local symbols, the range of works are becoming wider.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.1 s.13
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• pp.21-28
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• 1999

NGIS and other related public projects have contributed to the generalized use of the digital maps. The accuracy and cost-effectiveness of such digital maps can be enhanced from the integrated use with airphotos and satellite imagery. This study mainly focuses on the investigation of a efficient way of integrating the digital map and image data along with searching for a proper standard format for the easier distribution of image data. This includes a thorough investigation of the available oversea image data-DoQ, DEM, DRG-and exisiting data transfer format such as widely used Geo TIFF and BIIF, supported by ISO. Also, major advantages and problems from integrating both data have been discussed to seek alternatives. The major conclusion from the study includes the need for more supports to activate the use of image data by policy-makers and the establishment of standards towards BIIF considering the accuracy, exchangeability, and trends.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.15-22
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• 2005

In this paper, we propose a face recognition system by using the CCD color image. We first get the face candidate image by using YCbCr color model and adaptive skin color information. And we use it initial curve of active contour model to extract face region. We use the Eye map and mouth map using color information for extracting facial feature from the face image. To obtain center point of Log-polar image, we use extracted facial feature from the face image. In order to obtain feature vectors, we use extracted coefficients from DCT and wavelet transform. To show the validity of the proposed method, we performed a face recognition using neural network with BP learning algorithm. Experimental results show that the proposed method is robuster with higher recogntion rate than the conventional method for the rotation and scale variant.

• Korean Journal of Digital Imaging in Medicine
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• v.12 no.1
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• pp.19-25
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• 2010

This study is mainly for the reduction of exposure dose by using a heavy elements filter(Gd) in the digital radiology. They contained heavy elements filter of Gd and X-ray beam hardening filters such as Al and Cu. According to the results of experimental evaluation, X-ray property was not changed with variety of kVp in the case of the Gd filter. The surface dose and absorption dose were increased in order of Cu and Al. The contrast of image showed the higher value in order of Cu, Al and Gd. While the use of Gd has increased the numerical value of the CR image, and grayscale has decreased noise value of the DR image.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.1
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• pp.68-78
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• 2005

A new emotion-based image retrieval method is proposed in this paper. The research was motivated by Soen's evaluation of human emotion on color patterns. Thirteen pairs of adjective words expressing emotion pairs such as like-dislike, beautiful-ugly, natural-unnatural, dynamic-static, warm-cold, gay-sober, cheerful-dismal, unstablestable, light-dark, strong-weak, gaudy-plain, hard-soft, heavy-light are modeled by 19-dimensional color array and $4{\times}3$ gray matrix in off-line. Once the query is presented in text format, emotion model-based query formulation produces the associated color array and gray matrix. Then, images related to the query are retrieved from the database based on the multiplication of color array and gray matrix, each of which is extracted from query and database image. Experiments over 450 images showed an average retrieval rate of 0.61 for the use of color array alone and an average retrieval rate of 0.47 for the use of gray matrix alone.