• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.571-575
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• 2004

인쇄회로기판(PCB)을 조립 또는 검사하는 장비의 작업 프로그램 작성을 위해서는, 납땜 패드의 위치와 크기에 대한 데이터가 필요하다. CAD 파일, 거버 파일 등을 사용하여 패드를 추출하는 방법이 많이 사용되고 있으나, 본 논문은 이미지 스캐너를 사용하여 추출하는 방법을 새로이 제안한다. 제안된 방법은 통계적 영상 처리를 적용하여, 기존의 일반적인 영상처리 방식보다 기판 별 패드 색상의 차이에 강인하다. 실제 PCB 에 대한 실험을 통하여 제안 방법의 성능을 검증한다. 제시된 방법은, CAD 파일과 거버 파일의 확보가 어려운 임가공 업체 등의 생산현장에서 사용될 수 있다.

• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.129-140
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• 2003

This study was to develop a fruit sorting system using statistical image processing. Histogram was used to compare fruit colors to standard fruit color and edge detector using Wilcoxon test was used to calculate an accurate geometrical characteristics of fruit including perimeter, area, major axis and minor axis length and roundness. The experimental result obtained from using our system for sorting apples was presented.

• Proceedings of the Korean Statistical Society Conference
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• 2003.10a
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• pp.143-148
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• 2003

본 논문에서는 통계적 방법에 기초한 사과 선별시스템을 이용하여 사과의 색깔을 식별하고자 한다. 이를 위해 T-검정을 이용하여 에지를 검출하였고 검출된 에지로부터 체인코드를 이용하여 사과 영상의 경계선과 환상대 영역을 구하였다. 우리는 주어진 사과영상의 환상대 영역으로부터 R, G, B 채널상에서 히스토그램과 평균 명암값을 구하여 색깔 판정용 표준사과로부터 얻은 기준값들과 비교함으로서 사과의 색깔을 식별하였다.

• Journal of Broadcast Engineering
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• v.1 no.2
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• pp.165-175
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• 1996

In this paper, the image segmentation method based on the hierarchical pyramid image structure of reduced resolution versions of the image for solving the problems in the conventional methods is presented. This method is described the object detection and delineation by statistical approach. In the object detection method, IFSVR( Inverse-father-son variance ratio) method and FSVR(father-son variance ratio ) method are proposed for solving clustering validity problem occurred In the hierarchical pyramid image structure. An optimal object pixel Is detected at some level by this method. In the object delineation method, the iterative algorithm by top-down traversing method is proposed for moving the optimal object pixel to levels of higher resolution. Using the computer simulation, the results by the proposed statistical methods and object traversing method are investigated for the binary Image and the real image. At the results of computer simulation, the proposed methods of image segmentation based on the hierarchical pyramid Image structure seem to have useful properties and deserve consideration as a possible alternative to existing methods of image segmentation. The computation for the proposed method is required 0(log n) for n${\times}$n input image.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.591-600
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• 2006

This paper describes the development and implementation of a algorithm to decompose word images from image regions mixed text/graphics in document images using statistical analyses. To decompose word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character components. finally, we devide the character regions into text lines and word images using projection profile analysis, gap clustering, special symbol detection, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions. Also, we made an experiment with the proposed method in document image processing system for keyword spotting and showed the necessity of studying for the proposed method.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.905-914
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• 2011

In the field of image processing, the removal noise contamination from the original image is essential. However, due to various reasons, the occurrence of the noise is practically impossible to prevent completely. Thus, the reduction of the noise contained in images remains important. In this study, we estimate the level of noise variance based on the measurement of the relative strength of the noise, and we propose a noise reduction algorithm that uses a sigma filter. As a result, the proposed statistical noise reduction methodology provides significantly improved results over the usual sigma filtering regardless of the level of the noise variance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.2
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• pp.314-321
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• 2003

Recently, many studies about digital watermarking have been doing, and their purpose is to protect copyright of multimedia data. In this paper, the performances of digital watermarkings, in order to hide information of copyright into digital images, are analyzed. The watermarks embedded in subbands on wavelet transform domain are transformed by the processing such as image compression, and the degree of the transformation in each subband depend on its statistical characteristics. That says, we must consider the characteristics of subbands for better watermarking.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.664-666
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• 2003

본 논문에서는 해양학의 관찰을 통한 통계학적 모델과 영상처리 기법을 이용하여 바다 표면을 나타내는 방법을 제시한다. 파도를 구성하는 파들의 합을 모두 구하지 않고, 높이필드를 사용하여 FFT로 처리하는 것은 전체적인 파도를 한꺼번에 빠르고 쉽게 모델링 할 수 있다는 장점을 가진다. 또한 통계적 모델을 적용할 때, 영상처리에 사용하는 필터를 사용하여 보다 자연스러운 물결을 표현하는 방법을 제시한다. 그리고 주파수 영역에서 매그니튜드 값의 효율적인 사용법을 제시하여 파도의 애니메이션을 나타낸다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.569-576
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• 2000

The GST can extract the position of facial features without a prior information in an image. However, this method requires a plenty of the processing time because the mask size to process GST must be larger than the size of object such as eye, mouth and nose in an image. In addition, it has the complexity for the computation of middle line to decide facial features. In this paper, we proposed two methods to overcome these disadvantage of the conventional method. First, we used the reduced image having enough information instead of an original image to decrease the processing time. Second, we used the extracted peak positions instead of the complex statistical processing to get the middle lines. To analyze the performance of the proposed method, we tested 200 images including, the front, rotated, spectacled, and mustached facial images. In result, the proposed method shows 85% in the performance of feature extraction and can reduce the processing time over 53 times, compared with existing method.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.551-554
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• 2003

본 논문은 얼굴 인식을 위한 전 처리 기술인 통계적인 색 정보를 이용한 얼굴영역 추출 방법에 대해서 제안한다. 얼굴 영역 추출은 방향성에 무관하고 빠르게 선택 될 수 있는 색상정보 즉, 사람의 피부색을 이용한다. 처리과정은 RGB 색 공간을 HSI로 변환하여 영상의 휘도 성분을 정규화하고 노이즈를 제거하기 위해 가우시안 필터를 이용하여 평활화 과정을 수행한다. 이와 같이 처리된 영상을 통해 피부색을 검출하여 피부색에 해당되는 화소값이 가장 큰 군락을 형성하고 있는 부분을 얼굴영역으로 인지하고 이를 근거로 영역을 추출한다. 제안된 방법을 통해 실험한 결과 얼굴인식에 적합한 얼굴 영역을 추출해 내었다.