• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.698-704
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• 2013

The image process for image enhancement applies differently the same algorithm for each application. So, the optimized value for each application is required. In this paper, the X-ray medical image using a high-pass filter was improved edges. The result image was improved edge and the contrast of flat area using a constant multiplier and offset. Therefore, the high-frequency emphasis filter optimized for medical image is required. These optimized values are the gaussian high-pass filter, the distance of cutoff frequency=0.05 and offset=0.5. From the result of optimaized simulation, The proposed method has enhanced contrast and edge of the image in the contrast of existing mothods.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.73-77
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• 2006

제 3차 국가 GIS 기본 계획의 목적은 국가지리정보체계의 원활한 구축 및 지리정보 활용촉진으로 기존의 구가 GIS 구축의 양적 확산에서 질적 심화를 도모하고 있다. 고해상도 위성영상이 다양한 분야에서 활발하게 이용하게 됨에 따라 지형자료의 더 정확한 경계검출에 대한 필요성이 대두되고 있다. 위성영상을 이용한 도로 경계 검출은 교통정보시스템을 포함한 도로계획, 도시계획 등의 GIS 응용을 위한 필수 연구로 인식하고 있다. 본 연구는 IKONOS 영상에서 도로 경계 검출을 위한 고주파 와 저주파 필터링 비교분석에 관한 연구이다. 분석결과 저주파 필터링과 고주파 필터링은 입력영상의 경계부분에서 영상을 선택적으로 강조할 수 있었다. 저주파 필터링과 같은 영상강화 기법에서는 추출 가능한 경계부의 위치를 변화시키거나 영상의 화소값이 전체영상을 대상으로 변화시켜 비교적 도로 폭이 넓은 경우 효과적이었다. 고주파 필터링은 세부적인 영상정보를 선택적으로 강조할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1681-1685
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• 2014

The visual quality of medical image is an important factor for diagnosis accuracy. Therefore, the methods to improve the quality of medical image have studied. Among them, frequency domain filter is very powerful method to impove the visual quality of image. In this paper, the X-ray medical image using optimized high-pass filter was improved edges. The result image was improved edge and contrast of flat area using optimized high frequency emphasis filter. At last, the result image is to minimize the noise using the minimum mean square error(MMSE) filter. As a result, the proposed method has enhanced contrast and edge of the image in the contrast of existing filters, with the noise canceling effect.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.3-11
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• 2006

The need for edge detection about topography data from the high resolution satellite imagery is happening with increasing frequency according to many people utilize the its imagery as various fields recently. Many experts is recognizing of other GIS will make use of the road detection from the high resolution satellite imagery, including ITS (Intelligent Transportation Systems) and urban planning. This paper is comparative analysis of LPF (Low Pass Filtering) and HPF (High Pass Filtering) for roads edge detection from high resolution satellite imagery. As a result, LPF and HPF can be highlight selective pixels at edge area about input data. In case or applying to other techniques such as LPF for the same purpose, they aye more effective for wide road width which often cause the slight distortion of boundary or overall change of brightness values on the whole Image. Whereas, HPF has ability to enhance selectively detailed components in a target image.

• 전자공학회논문지 IE
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• v.48 no.1
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• pp.51-56
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• 2011

In this paper, a variety of digital image processing technique was applied to improve the quality of medical images which is a chest CR image. And the image quality was performed. On the other hand, the high-frequency emphasis filtering and the histogram equalization were realized by MATLAB programs to better the contrast of the chest CR image. As a result of simulation, the sharpness of the original image was elevated by the high-frequency emphasis filtering and the histogram equalization. To evaluate the degree which is improved the image quality by the digital image processing, the subjective evaluation is used by the observation of the image. The sensitivity which is the probability to find a signal or a lesion is calculated. The sensitivity of the image performed the high-frequency emphasis filtering and the histogram equalization became more improved than that of the original and the digital image processing performed in the medical image improved the quality of the image.

• Journal of the Korean Society of Radiology
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• v.8 no.6
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• pp.301-307
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• 2014

In this study, an image acquired by the DSA(Digital Subtraction Angiography) system that is configured to configure the algorithm for high pass filtering algorithm experiments to improve the quality of angiography methods proposed. high pass filter is a high-frequency components pass through the filter, blocking low-frequency components. Part of the boundary line and contour of the organ corresponds to the high-frequency component is a high-frequency component of a medical image. Therefore, the high pass filter is also used for detection of the boundary line, but is also used for the high frequency enhancement. It was able to be analyzed by the proposed algorithm, to improve the quality of the angiography. Found out that the expression of the target site stand out clearly. The quality of the DSA system proposed in the wrong diagnosis software can be used to reduce, it is possible to develop and will further improve the accuracy of the treatment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.21-22
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• 2023

딥러닝 모델은 영상 처리와 불량 감지 등 다양한 분야에서 높은 성능을 발휘하여 산업적으로 매우 중요하고 필수적인 기술이 되었다. 특히, 불량 감지는 제조업 분야에서 제품 품질 향상과 생산성 향상에 핵심적인 역할을 하는 기술로써 큰 관심을 받고 있다. 본 논문에서는 재건축 방식의 대표적인 모델인 DRAEM에 대해 불량 감지 성능을 향상하는 방법을 제시합니다. 이를 위해 컬러 분포의 차이를 최소화하는 손실 함수와 마스킹에 고주파 필터링을 적용하여 노이즈를 제거하는 방법을 활용한다. 이러한 방법들을 통해 DRAEM 모델의 성능을 개선하고, 정확하고 효과적인 불량 감지를 실현할 수 있다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.1
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• pp.17-22
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• 2011

In this study, a P wave emphasizing and detection algorithm from ECG signal was proposed to read arrhythmia. The algorithm uses two slope tracing waveform, the descending slope tracing wave and the ascending slope tracing wave, developed for efficient determination of slope inverting points and sudden slope changing points. The algorithm generates the slope tracing waveform which trace the original ECG wave, and subtracts one tracing wave from the other to detect P and T waves. The algorithm has been applied to MIT/BIH database in order to verify its efficacy and validity in practical applications.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.428-431
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• 1998

화자 인식의 방법에서 사용되고 있는 특징 파라미터들은 음성 인식에서 사용되고 있는 특징 파라미터를 그대로 사용하고 있다. 따라서, 이를 화자 인식에 적용할 때 화자의 특성을 효과적으로 반영할 수 있어야 한다. 일반적인 화자의 특징이 고주파수 위주로 분포되어 있기 때문에 전체 스펙트럼의 고주파 영역을 강조시킬 수 있고, 또한 인간의 청각특성이 공진 주파수에 기반하여 이루어진다는 사실에 기반을 두어서 공진 주파수 위주로 강조시키는 인지 가중 필터를 인식단의 전처리로 사용하는 방법에 관한 것이다. 본 논문을 실험한 결과 전체 인식율에서는 기존의 방법보다 3.89%까지 인식율의 향상을 얻을 수 있었다. 또한 사칭자 수리율은 2.5%의 저하를 얻을 수 있었다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.2
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• pp.54-60
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• 1984

In this paper, the modified Hunt's constrained least squares estimation method for image restoration is studied with the parameter ${\alpha}$ which represents the effect of inverse filter, And it is akown that high frequency components in the restored image obtained by the proposed method are emphasized by optimizing the constraining factor ${\gamma}$, depending upon ${\alpha}$.