Chung, Sang-Hun. 1998. An Image-Schematic Analysis of Values in Linguistic Expressions. Studies in Modern Grammatical Theories 12, 225-240. The purpose of this study is to analyze some aspects of value systems reflected in linguistic expressions by means of the image-schematic approach that Mark Johnson has presented, and axiological semantics which studies values with reference to the meaning of various linguistic expressions, and whose task is to describe those values and ways in which they determine both the structure and the functioning of human language as manifested in human communication. The concepts `good` and `bad`, and Tischner`s hierarchy of values have been used. The results of the study are as follows; First, image-schemata are primarily based on human bodily experiences. Second, image-schemata which are based on different clusters of experiences are bi-polar. They have a `good` pole and a `bad` pole. Third, center, link, whole, up, front, right are regarded as `good`, while periphery, no link, part, down, back, left as `bad`. Fourth, `bad` can be defined relative to `good`. but not the reverse. Things canbe `bad` only to the extent to which they are `not good`, for the experience of `bad` comes from the experience of `lack`. Fifth, positively charged concepts are more likely to be unmarked forms, while negatively charged concepts are more likely to be marked forms.

Kim Jong-do. 1998. The Study on the Image-Schema Transformations. Studies in Modern Grammatical Theories 12, 141-168. This paper is designed to show an appropriate way to analyse polysemie phenomena by taking a process morpheme. -er as an example. And it emphnsises that their appropriate analysis could be achieved when it is based on the schemathic network categorization model. The model is thought to be able to avoid the problems posed by the traditional categorization and the prototype model. -er is thought to have there contextual meanings: agent, instrument and setting. These meanings can be connected through image-schema transformations. Three schemas which represent their respective meanings can be united through the superschema. On the other hand, the present tense is thought to be polysemous. But its polysemy is caused by transformations applied on another grammatical category aspect. In this point the present tense is not polysemous. This paper also shows that image-schma transformations work on all the grammatical levels, for they are not the superficial grammatical gimmics, but mental activities. Thus all the grammatical phenomena should be analysed ultimately on the base of cognitive activities.

Nowadays, many satellites regularly produce digital multispectral images of the earth's surface. Multispectral images may be displayed as color pictures by selecting three components for assignment to the primary colors. It is desired to enhance these images to generate a display picture that are representativde of their features. in this paper, a false color image processing algorithm is proposed for the purpose of enchancement of the multispectral images based on the human perception. The mean of each primary component is transformed to equalo. Intensity and saturation are enhanced by modified piecewise linear contrast strectching and saturation enhancement method. The proposed method has been successfully applied the LANDSAT TM image and shows good enhancement.

Mathematical morphology skeleton image processing makes many partial skeleton image planes from an original binary image. And the original binary image can be reconstructed without any distortion by summing the first partial skeleton image plane and each dilated partial skeleton image planes using the same structuring element. Especially compression effects of Elias coding to the morphological globally minimal skeleton(GMS) image, is better than that of PCX and Huffman coding. And then this paper proposes mathematical morphological GMS image processing which can be applied to a binary image transmitting for facimile and big size(bigger than 64×64 size) bitmap fonts storing in a memory.

Camera arrangement for depth and image correspondence is very important to the computer vision. Two conventional comera arrangements for stereo computer vision are lateral model and axial motion model. In this paper, using the axial motion stereo camera model, the algorithm for camera focal length measurement and the surface smoothness with the radiance-irradiance is proposed fro 3-dimensional image correspondence on stereo computer vision. By adapting the above algorithm, camera focal length can be measured precisely and the resolution of 3-dimensional image correspondence has been improved comparing to that of the axial motion model without the radiance-irradiance relation.

Radar image data were collected through the on-line data acquisition system of A/D converter and personal computer, and the image was restorated on CRT or plotter after digital image processing of the data. The digital image processing system which was developed for this study, consisted of some kinds of software as follows : rearrangement, transformation, and enhancement of the image data in real space or frequency space by Fourier transform, edge detection of the image, compact processing, state inferential processing, and so on. Since the image of PPI radar sweeps from the center to the circumference of a circle, the image within a given period has the shape of fan. Therefore the acquired data were transformed to have the same interval as that of data in outmost concentricity. The results of various image processing methods using transformed data were better than those of the methods using original data.