• Title, Summary, Keyword: 공간 필터

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Two-Dimensional Filtering Through the Radon Transform (라돈변환을 이용한 2차원 필터링)

  • 원중선
    • Korean Journal of Remote Sensing
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    • v.14 no.1
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    • pp.17-36
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    • 1998
  • The Radon transform has been widely used in various techniques of digital image processing such as the computerized topography, lineament analysis in a remotely sensed image, slant-stack processing of seismic data, and so on. Compared to the Fourier transform, the utility of two-dimensional convolutional or correlational properties of the Radon transform, however, has been underestimated. We show that the two-dimensional convolution and correlation is respectively reduced to be one-dimensional convolution and correlation with respect to ρ in the Radon space. Therefore, one can achieve a two dimensional filtering by applying a simple one-dimensional convolution in the Radon space followed by an inverse Radon transform. Tests of the approach using FIR filters are carried out specifically for enhancing the ship wake in a RADARSAT SAR image. The test results demonstrate that the two-dimensional filtering through the Radon transform effectively enhance the ship wake features as well as reducing sea speckle in the image. Although two-dimensional convolution and correlation through the Radon transform are not so much useful as those through the courier transform in views of efficiency and effectiveness, it can be utilized to improve the quality of a digitally processed output when the process should be accompanied by the Radon transform such as topography and lineament analysis of SAR image.

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Video De-noising Using Adaptive Temporal and Spatial Filter Based on Mean Square Error Estimation (MSE 추정에 기반한 적응적인 시간적 공간적 비디오 디노이징 필터)

  • Jin, Changshou;Kim, Jongho;Choe, Yoonsik
    • Journal of Broadcast Engineering
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    • v.17 no.6
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    • pp.1048-1060
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    • 2012
  • In this paper, an adaptive temporal and spatial filter (ATSF) based on mean square error (MSE) estimation is proposed. ATSF is a block based de-noising algorithm. Each noisy block is selectively filtered by a temporal filter or a spatial filter. Multi-hypothesis motion compensated filter (MHMCF) and bilateral filter are chosen as the temporal filter and the spatial filter, respectively. Although there is no original video, we mathematically derivate a formular to estimate the real MSE between a block de-noised by MHMCF and its original block and a linear model is proposed to estimate the real MSE between a block de-noised by bilateral filter and its original block. Finally, each noisy block is processed by the filter with a smaller estimated MSE. Simulation results show that our proposed algorithm achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional de-noising algorithms.

Design of Multiplierless 2-D State Space Digital Filters Based on Particle Swarm Optimization (PSO을 이용한 고속 2차원 상태공간 디지털필터 설계)

  • Lee, Young-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.4
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    • pp.797-804
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    • 2013
  • This paper presents an efficient design method of multiplierless 2-D state space digital filter based on a particle swarm optimization(PSO) algorithm. The design task is reformulated as a constrained minimization problem and is solved by our newly developed PSO algorithm. To ensure the stability of the designed 2-D state space digital filters, a stability strategy is embedded in the basic PSO algorithm. The superiority of the proposed method is demonstrated by several experiments. The results show that the approximation error and roundoff noise of the resultant filters are better than those of the digital filters which designed by recently published filter design methods. In addition, the designed filters with power-of-two coefficients have only about 1/4 computational burden of the 2-D digital filters designed in the 2's complement binary representation.

Plant Growth Responses and Indoor Air Quality Purification in a Wall-typed Botanical Biofiltration System (벽면형 식물바이오필터 내 식물 생육 및 실내공기질 정화)

  • Jung, Seul Ki;Chun, Man Young;Lee, Chang Hee
    • Korean Journal of Plant Resources
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    • v.28 no.5
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    • pp.665-674
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    • 2015
  • The final goal of this research is to develop a botanical biofiltration system, which combines green interior, biofiltering, and automatic irrigation, which can purify indoor air pollutants according to indoor space and the size of biofilter. The biofilter used in this experiment was designed as an integral form of water metering pump, water tank, blower, humidifier, and multi-level planting space in order to be more suitable for indoor space utilization. This study was performed to compare indoor air quality between the space adjacent to a botanical biofilter and the space away from the biofilter (control) without generation of artificial indoor air pollutants, and to evaluate plant growth depending on multiple floors within the biofilter. Each concentration of indoor air pollutants such as TVOCs, monoxide, and dioxide in the space treated with the biofilter was lower than that of control. Dracaena sanderiana ‘Vitoria’ and Epipremnum aureum ‘N Joy’ also showed normal growth responses regardless of multiple floors within the biofilter. Hence, it was confirmed that the wall-typed botanical biofilter suitable for indoor plants was effective for indoor air purification.

Analyzing the Effectiveness of a Best Management Practice on Sediment Yields Using a Spatially Distributed Model (공간분포형 모델을 이용한 최적관리방안의 토사 유출 저감 효과에 관한 연구)

  • Lee, Taesoo
    • Journal of the Korean Geographical Society
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    • v.52 no.1
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    • pp.15-24
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    • 2017
  • Management of non-point sources for water quality control practice is complicating but very important. Sediments mainly from croplands are prioritized in non-point source management due to the sediment attached phosphorous. In this study, flow and sediment yields are modeled in Oenam watershed located in Hwasun, Jeollanam-do, a upstream of Juam Lake. A spatially distributed model and GIS(Geographic Information System) data was used to find out hot spots of sediment yields, to analyze the effectiveness of filter strips, and to visualize the effectiveness. The impacts of filter strips was estimated on the reduction of flow and sediments at 17.2% and 46.4% respectively when the filter strips were installed in the sub-watersheds with the most serious sediment yields.

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Comparative Analysis of LPF and HPF for Roads Edge Detection from High Resolution Satellite Imagery (고해상도위성영상에서 도로 경계 검출을 위한 고주파와 저주파 필터링 비교분석에 관한 연구)

  • Choi, Hyun;Kang, In-Joon
    • Journal of Korean Society for Geospatial Information System
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    • v.14 no.3
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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.

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Introduction to Method of Space-efficient Bloom Filtering (공간 효율적인 블룸 필터링 방법의 소개)

  • Kang, Boo-Joong;Ro, In-Woo;Im, Eul-Gyu
    • Proceedings of the Korean Information Science Society Conference
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    • pp.1-4
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    • 2008
  • 블룸 필터는 간단하고, 공간 효율적인 자료 구조이다. 블룸 필터는 확률에 근거하여 어떤 데이터 집합을 표현하며, 어떤 데이터가 특정 데이터 집합에 속하는 지를 검사하는 멤버십 쿼리를 지원한다. 이런 멤버십 쿼리는 긍정 오류를 발생시키지만 블룸 필터의 파라미터들을 조정하여 긍정 오류를 최소화할 수 있다. 블룸 필터는 데이터가 공유의 필요성에 의해 전체 시스템에 걸쳐 물리적으로 퍼져있는 분산 시스템과 많은 양의 데이터를 다루기 위해 데이터베이스를 사용하는 시스템 그리고 실시간으로 멤버십 쿼리를 수행해야 하는 시스템 등에서 널리 사용되고 있다. 본 논문에서는 블룸 필터에 대해 알아보고 시스템의 목적에 따라 다양한 형태로 개량된 블룸 필터들에 대해 소개한다.

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Implementation of Neural Filter Optimal Algorithms for Image Restoration (영상복원용 신경회로망 필터의 최적화 알고리즘 구현)

  • Lee, Bae-Ho;Mun, Byeong-Jin
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.7
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    • pp.1980-1987
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    • 1999
  • Restored image is always lower quality than original one due to distortion and noise. The purpose of image restoration is to improve the image quality by fixing the noise or distortion information. One category of spatial filters for image restoration is linear filter. This filter algorithm is easily implemented and can be suppressed the Gaussian noise effectively, but not so good performance for spot or impulse noise. In this paper, we propose the nonlinear spatial filter algorithm for image restoration called the optimal adaptive multistage filter(OAMF). The OAMF is used to reduce the filtering time, increases the noise suppression ratio and preserves the edge information. The OAMF optimizes the adaptive multistage filter(AMF) by using weight learning algorithm of back-propagation learning algorithm. Simulation results of this filter algorithm are presented and discussed.

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WFMM Neural Networks Based Skin Color Filter for Face Detection (얼굴패턴 검출 문제에서 WFMM 신경망 기반의 피부색 검출 기법)

  • Cho Il-Gook;Kim Ho-Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.299-302
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    • 2006
  • 본 논문에서는 다중필터와 복합형 신경망으로 구성된 얼굴 검출 시스템과 WFMM 신경망을 이용한 피부색 검출기법을 소개한다. 전처리 단계에 해당하는 다중필터는 대상 영역의 수를 감소 시켜 시스템의 속도를 개선한다. 다중필터에 속한 색상필터는 총 11 가지의 색상 공간에서 피부색의 특징 값을 추출하여 학습 데이터로 사용하며, 이 학습 데이터에 의해 생성된 하이퍼 박스를 통해 피부색을 분류한다. 또한 WFMM 신경망의 연관도 요소 특성을 이용하여 각 색상 공간의 상대적 중요도를 분석하여 피부색 검출에 유용한 색상 공간을 분석하고 추출 한다. 얼굴패턴 검출을 위한 복합형 신경망은 첫 단계에서 가보 변환을 사용하는 CNN 을 통해 특징 지도를 생성하고, WFMM 신경망으로 최종 얼굴패턴을 검증한다.

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Extended R-Tree with Grid Filter for Efficient Filtering (효율적인 여과를 위한 그리드 필터를 갖는 R-Tree 의 확장)

  • 김재흥
    • Spatial Information Research
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    • v.8 no.1
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    • pp.155-170
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    • 2000
  • When we use R-Tree,a spatial index, to find objects matches some predicate, it often leads to an incorrect result of perform filtering step only with MBR. And , each candidates need to be inspected to conform if it really satisfies with given query, so called, 'refinement step'. In refinement step. we should perform disk I/O and expansive spatial operations which is the cause of increasing retrieval costs. Therefore, to minimize the number of candidate after filtering step, two-phase filtering methods were studied, but there was many problems such as inefficiency of filtering,maintenance of additional informations and reconstruction of data resulted from the loss of original information. So , in this paper, I propose an Extended R-Tree which provides ability to retrieve spatial objects only with some simple logical operations using Grid Table, truth table strong the information about the existence of spatial objects, in second filtering step. Consequently , this Extended R-Tree using Grid Filter has low cost of operation for filtering because of efficient second filtering step, and better filtering efficiency caused by high quality of approximation.

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