• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.208-211
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• 2008

Band-limited filtering will be applied to remove interference resulted from two neighbored channels in the transmission of KOMPSAT-5 X-Band image data. In that case, receiver in ground station should prepare righteous matched filter to avoid huge BER degradation depending on the matched filter of COTS receiver. As an effort to simulate the bandlimited filtering, test filter was designed and manufactured on the basis of main specification for output filter of KOMPSAT-5 satellite. Consequently, 1.8dB of BER degradation was measured at the output of test band-pass filter, but the degradation was downsized up to 0.4dB thanks to the adaptive matched filter of COTS receiver.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.396-399
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• 2009

In this paper, we present a method to define a color similarity between color images using Octree-based quantization and similar color integration. The proposed method defines major colors from each image using Octree-based quantization. Two color palettes to consist of major colors are compared based on Euclidean distance and similar color bins between palettes are matched. Multiple matched color bins are integrated and major colors are adjusted. Color histogram based on the color palette is constructed for each image and the difference between two histograms is computed by the weighted Euclidean distance between the matched color bins in consideration of the frequency of each bin. As an experiment to validate the usefulness, we discriminated the same clothing from CCD camera images based on the proposed color similarity analysis. We retrieved the same clothing images with the success rate of 88 % using only color analysis without texture analysis.

• 한국통신학회논문지
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• 제19권4호
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• pp.701-711
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• 1994

본 연구에서는 시간-주파수 해석에 매우 효과적인 웨이브릿 변환을 광학적 패턴인식에 적용하기 위하여 웨이브릿 정합 필터를 설계하고 웨이브릿 함수의 팽창계수 변화에 따른 광상관 특성을 구현하였으며, 기존의 공간 정합 필터 및 POF의 상관 특성과 비교하였다. 웨이브릿 정합 필터가 가장 좋은 식별력을 갖기 위해서는 사용된 입력 패턴의 형태와 웨이브릿 함수의 팽창계수에 의존하게 됨을 알 수 있었다. 또한, 웨이브릿 변환의 특징인 2차원 영상의 가장자리 강조 효과를 보였다. 웨이브릿 정함 필터는 웨이브릿 함수가 대역통과의 특성을 갖기 때문에 기존의 정합 필터나 POF보다 유사 패턴을 더 잘 식별할 수 있으며, 크기가 다른 패턴에 대해서는 POF보다 매우 민감함 상관특성을 가짐을 알 수 있었다.

• 한국음향학회지
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• 제18권8호
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• pp.68-74
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• 1999

본 연구에서는 남녀 화자 8명의 목소리를 녹음한 후 전신과 얼굴을 촬영하고 100명의 사람들에게 목소리와 사진을 짝짓는 인지실험을 실시하였다. 그 결과, 8명 중 4명 이상의 목소리를 주인공과 올바로 짝을 지었으며, 전신을 보았을 때가 얼굴만 보았을 때보다 정확도가 높았다. 또 좋은 소리는 좋은 인상보다 더 많은 사람들이 동감하는 것을 알 수 있었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.450-455
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• 2009

Amplitude-only logarithmic Radon transform (ALR transform) for pattern matching is proposed. This method provides robustness for object translation, scaling, and rotation. An ALR image is invariant even if objects are translated in a picture. For the object scaling and rotation, the ALR image is merely translated. The objects are identified using a phase-only matched filter to the ALR image. The ratio of size, the difference of rotation angle, and the position between the two objects are detected. Our pattern matching procedure is described, herein, and its simulation is executed. We compare matching scores with the Fourier-Mellin transform, and the general phase-only matched filter.

• 전기학회논문지
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• 제58권5호
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• pp.1025-1034
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• 2009

In steel making production line, steel slabs are given a unique identification number. This identification number, Slab management number(SMN), gives information about the use of the slab. Identification of SMN has been done by humans for several years, but this is expensive and not accurate and it has been a heavy burden on the workers. Consequently, to improve efficiency, automatic recognition system is desirable. Generally, a recognition system consists of text localization, text extraction, character segmentation, and character recognition. For exact SMN identification, all the stage of the recognition system must be successful. In particular, the text localization is great important stage and difficult to process. However, because of many text-like patterns in a complex background and high fuzziness between the slab and background, directly extracting text region is difficult to process. If the slab region including SMN can be detected precisely, text localization algorithm will be able to be developed on the more simple method and the processing time of the overall recognition system will be reduced. This paper describes about the slab region localization using SIFT(Scale Invariant Feature Transform) features in the image. First, SIFT algorithm is applied the captured background and slab image, then features of two images are matched by Nearest Neighbor(NN) algorithm. However, correct matching rate can be low when two images are matched. Thus, to remove incorrect match between the features of two images, geometric locations of the matched two feature points are used. Finally, search rectangle method is performed in correct matching features, and then the top boundary and side boundaries of the slab region are determined. For this processes, we can reduce search region for extraction of SMN from the slab image. Most cases, to extract text region, search region is heuristically fixed [1][2]. However, the proposed algorithm is more analytic than other algorithms, because the search region is not fixed and the slab region is searched in the whole image. Experimental results show that the proposed algorithm has a good performance.

• 한국의상디자인학회지
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• 제7권1호
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• pp.85-99
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• 2005

This study is to know the blue jean image according to type and its constituting element. and also to analyze image according to the sex of wearers and recognizers, the existence and nonexistence of blue jean affect the wearer's body type. Thirty-six photo stimulus material attached to men and women wearers selected as people of skinny types, average types and fat types, were seen to 1,354 men and women university students and had them measure blue jean image and element of twenty one items. 1, The blue jean image was different according to design type. The broad blue jean was active but it looked fat. The bleached blue jean matched with any clothing. The legs looked long. Painting blue jean seemed o be new, colorful, splendid, The torn blue jean appeared to match with any clothing. And lap seam blue jean was active but the waist seemed as thick image. 2, In the wearer's body type, the jeans image strengthen the wearer's body image. The legs looked long. The fat type appeared high in the item like this; they looked fat. The waist looked thick. It was courageous and casual. It appeared that the fat element appeared as blue jean image of fat type. 3, In the relation of wearer's sex and blue jean image, when the wearers were men, the image was passable. It matched with anyone. It was splendid and refined. The legs appeared long. When the wearers were women, the blue jean image was economic. It had no relation with a fashion. It was active, comfortable, free, casual and fat. The waist looked thick. In image element, activity and fat element appeared as a main element of the blue jean image.

• 대한전기학회논문지
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• 제41권8호
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• pp.938-946
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• 1992

A novel 2-dimensional matched filter of the parallel-jaw type using fuzzy logic is proposed for bin picking. Specifically, the averaged pixel intensity of the windowed region for the filtering is considered to be fuzzy. Also membership functions for darkness and brightness are designed by employing the intensity histogram of the image. Then a rule is given to know how much a windowed region can be a possible holdsite. Furthermore eight rules are made to determine the part orientation, where Mamdani's reasoning method is applied. The proposed technique shows better performances than that of the conventional matched filtering technique in the following senses` 1) most of holdsites determined by the proposed technique are not concentrated at the locations nearly the end of part and 2) our filter is rather insensitive to noises than the conventional method. To show the validities of our proposed technique, some experimental results are illustrated and compared with the results by conventional matched filter technique.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.943-946
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• 1998

In this paper, we applied FFT to PCB Images, cutting unnecessary singals and noise, moving the starting point to center of image and used rotaion transform. from the detected edge Hough Transform identify the length, but not the angle, so we matched PCB images with using rotation transform to identify length and angle. After rotation transform we employ Least Squared Method to exact stereo matching.

• 한국ITS학회 논문지
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• 제13권4호
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• pp.20-29
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• 2014

거시적인 3대 교통변수(교통량, 속도, 밀도)와 고속도로 서비스 수준의 효과척도(밀도, 교통량 대 용량비) 모두 해당되는 변수는 밀도이다. 특히 도로의 서비스 수준을 평가함에 있어 가장 정확하고 우수한 효과척도로 알려져 있다. 이러한 중요성에도 불구하고 측정방법의 어려움으로 인해 타 변수에 비해 밀도를 활용한 연구가 상대적으로 부족하였다. 기존 밀도추정방법의 경우 측정시각에 따라 동일한 교통류의 밀도값이 변화하는 등의 한계가 있다. 본 연구에서는 서울외곽순환고속도로 사패산 터널 내부의 CCTV 영상을 정합하여 파노라마 영상을 제작한 후, 제작된 파노라마 영상을 이용하여 실제 밀도를 측정하는 방법을 연구하였다. 중심극한정리를 이용하여 분석한 결과, 1 km 사진 24개(혹은 24초)를 이용하여 밀도를 측정하면 당시 교통상황을 잘 반영할 수 있었다. 즉, 본 연구에서 제시한 밀도 수집 주기를 준수하여 수집한 구간영상으로 밀도를 측정할 경우 측정시각에 관계없이 평균적인 밀도값을 측정할 수 있으며, 현실 교통류를 대변하는 현실적인 밀도를 취득할 수 있다.