A Hybrid Fractal-Based Image Coding

최종주,Han, Sung Hyun 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1

The complexity of the fractal encoding is grooving very quickly with the image size. In this paper, we present a novel algorithm which reduces the encoding time of fractal-based image coding. To begin with, the simplest type of image pyramid is constructed. In searching a optimal domain block for each range block, this structure allows to initially search low-resolution version of an image. After decoding in the next higher resolution, distortion measures are computed between the decoded range block and the block of the same position in the same resolution of the original image. For every range block such that the distortion is above the threshold, searching is performed in that resolution again. In the original resolution, we consider two-level square partition. Simulation results show good visual quality of decoded images with a lower computational cast.

싶다' 구문의 격과 부가어 : HPSG의 확대 논항 구조적 분석 An Extended Argument Structure Analysis in HPSG

최종주,이남근 대한언어학회 2000 언어학 Vol.8 No.1

Choe, Jong-Joo and Lee, Nam-Geun. 2000. Case and Adjunct in the Siphta Construction: An Extended Argument Structure Analysis in HPSG. Linguistics 8-1, 133-152. The siphta construction in Korean shows some intriguing properties such as the case alternation in the complement NP of the lower verb and the optional - but not arbitrary - case marking on the adjunct. We will show that the 'argument structure' alone is not enough to deal with the case marking on the adjunct simply because the adjunct cannot be contained in the argument structure. Therefore, in the framework of Head-driven Phrase Structure Grammar (HPSG for short), we will take advantage of the new feature DEPS (or dependendy structure) proposed by Bouma, Malouf and Sag (1999). The extended argument structure DEPS will enable us, with the help of Case Principle and the notion of structural/lexical case, to take care of the case alternation and case marking on the adjunct in the siphta construction. (Chosun University)

영상처리를 위한 일반화된 허프변환에서의 검출방법들에 대한 고찰

최종주,정채영 한국컴퓨터정보학회 1997 韓國컴퓨터情報學會論文誌 Vol.2 No.1

Hough變換의 計算을 위한 一定 時間 알고리즘

최종주,박병권 서강전문대학 1994 論文集 Vol.13 No.-

A reconfigurable bus system is defined to be a bus system whose configuration can be dynamically changed by establishing the local switch of eath processor. A processor array connected to a reconfigurable bus system is defined as a processor array with a reconfigurable bus system. Two constant time algorithms are presented for linking the non-zero terms in a binary sequence and for computing the histogram of an image on a processor array with a reconfigurable bus system, respectively. Then, these two algorithms can be used to compute n angles of the Hough transform of an image with N edge pixels in constant time using O(nN³) processors.

이진 배열 기법을 이용한 내포된 곡선 성분 검출에 관한 연구

최종주,위승정,양환석 서강정보대학 1997 論文集 Vol.16 No.-

The general Hough transform was not influenced to detect the external circle and ellipse for when the circle and ellipse was detected by the external noises, it was filtered in various way, and the rest image had inclused trouble in detecting, for it was regarded as the intinernal noises. So, this paper suggests the new algoritsm to detect another circle existing inside and to remove not from the general method but from the original image when the external circle detected is excluded.

명암 가중치를 이용한 골격선 추출 방법

최종주,최성복 서강정보대학 1993 論文集 Vol.12 No.-

Skeletons have been largely used as descriptors of shape in the field of image processing. Only binary pictures, however, have been considered so far. In this paper a grey-weighted skeleton is defined for grey-valued continuous and quantized image. In order to extend the invertibility property of the skeleton to the grey case, a transformation is defined, which is a generalization of both direct and inverse binary skeleton transformations. By taking advantage of the properties of this transformation, a procedure for the inversion of a grey-weighted skeleton is finally proposed.

영상 압축 Dynamic Video의 세분화 통합 연구

최종주,위승정 서강정보대학 1999 論文集 Vol.18 No.-

It is becoming importantly to necessity about compression and transmission of digital image as improvement of computer ability, appearance of a great deal of store construction and development of computer communication. Recently various algorisms for compression of image information are proposed, but there are risen up a lot of problems when return to those original image since mostly these studies is thought greatly improvement of rate of compression. Hence, in this study, in same picture of JPEG and MPEG of problem that return to those image in image compression that use descript cosine translation i.e. standard of JPEG work an image data in DC sequence without extract compression. We will develop algorism that search picture which change suddenly and gradually in same picture of JPEG and MPEG compression

역전파 알고리즘을 이용한 형상인식 알고리즘의 구현

최종주 서강정보대학 1998 論文集 Vol.17 No.-

Neural net has a difficultly in recognizing images which have much noise. Therefore we retrieve the discernible images. using hough transform. We construct the knowledge base of indiscernible images using images learned by neural net and made many kinds of inputted images recognized. Neural net used in this paper is composed of input layers, hidden layers and output layers. Since images used in learning are inputted regardless of their size, decline and image shapes, normalization of them is essential. Since this reduces the learning time, it is necessary to adjust the number of input layers appropriately. The less input layers, the lower system's cognitive faculty. The more input layers, the longer the learning time. The backpropagation algorithm used in this paper is composed of three layers. Input layers and hidden layers include content layers. Output units of output layer are connected to themselves, hidden units and other output units. Generally, in classifying patterns using backpropagation algorithm, hidden units are learned so that they can maximize informations delivered from input patterns. Output units also are learned so that they can separate informations delivered from hidden units. It is important to deliver more informations from lower units to output units, since it improve the separation faculty and the generalization faculty. We found that images not recognized by backpropagation algorithm rightly are the very damaged or noisy images. And we found that backpropagation algorithm recognition system recognizes images regardless of center point, decline or size of inputted images.

재사용을 위한 소프트웨어 구조 표준에 관한 연구

최종주 서강정보대학 2001 論文集 Vol.20 No.-

This study proposes the model of the life cycle from the specification of requirement about software to the specification of design by the prototype paradigm. The method that well defined structure of software component should aim at simplify reusability software, which software component is stored library. This method of reusability of software is characterized by the improvement of the productivity. Therefore well defined structure of software component should be related at improving the productivity of software. In this paper, we propose the structure of software component which simply reusability for improving software productive.

퍼지 허프변환에 관한 연구

최종주,박병권 서강정보대학 1996 論文集 Vol.15 No.-

To detect shapes in noisy data, the fuzzy Hough transform is introduced. This technique finds shapes by approximately fitting the data points, which avoids the spurious shapes detected when using the conventional Hough transform. An efficient implementation of this method is found in detecting lines and circles.