• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.533-534
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• 2011

본 논문에서 적외선(IR; Infrared), 자외선(UV; Ultraviolet), 가시광선(VR; Visible ray)의 영역에서 촬영한 설진 영상으로부터 가장 효과적인 설태 인식을 위한 최적 혀 영상 분석 방법을 제안한다. 제안한 방법은 설진에서 혀 영상 촬영을 위한 최적 파장 범위와 해당 파장에서 설태 분석에 최적의 컬러 영상을 선정한다. 최적 영상 선정을 위해서는 각 파장별로 촬영한 혀 영상을 LAB, HSV, YcBcR, RGB 컬러모델로 변환하고, 변환된 영상들로부터 설태와 비설태 영역의 히스토그램(Histogram)을 분석에 의해서 영역-분별력을 측정한다. 실험 결과 설진에서 설태 인식을 위한 최적 혀 영상은 자외선 영역에서의 RGB 컬러모델로 나타났다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.615-618
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• 2007

본 실험을 통하여 연속된 프레임을 갖는 이미지 영상을 히스토그램의 절대값을 이용하여 영상의 모션에너지를 분석하는 방법을 제안한다. 입력되어지는 영상은 그 내용의 흐름에 따라 각각의 프레임마다 다른 모션에너지를 발생하고 모션에너지의 피크값을 검출 할 임계값과 영상의 분할을 통하여 영상내 객체의 이동방향이나 움직임의 강도 등을 파악할 수 있다. 이 모션에너지는 여러 가지로 활용할 수 있으며 실험을 통하여 차량의 주행속도를 자동으로 검출해 낼 수 있었다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.2
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• pp.209-216
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• 1992

Deafs train articulation by observing mouth of a tutor, sensing tactually the motions of the vocal organs, or using speech training aids. Present speech training aids for deafs can measure only single speech parameter, or display only frequency spectra in histogram of pseudo-color. In this study, a speech training aids that can display subject's articulation in the form of a cross section of the vocal organs and other speech parameters together in a single system is to be developed and this system makes a subject know where to correct. For our objective, first, speech production mechanism is assumed to be AR model in order to estimate articulatory motions of the vocal organs from speech signal. Next, a vocal tract profile model using LP analysis is made up. And using this model, articulatory motions for Korean vowels are estimated and displayed in the vocal tract profile graphics.

• Annual Conference of KIPS
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• 2003.11a
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• pp.579-582
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• 2003

본 논문에서는 동영상에서 에지 정보와 히스토그램 분석을 이용하여 실시간으로 움직이는 물체를 검출하고 추적하는 방법을 제안하였다. 물체 검출에서는 먼저, 입력영상에 대하여 형태에 관한 정보를 그대로 유지하면서 자료의 양을 줄일 수 있는 에지(Edge)를 추출한다. 추출된 에지 영상에 차연산과 이진화를 수행하여 물체를 검출하고, 검출된 물체 영역은 이진 변환밀도에 대한 수평 누적값의 합을 수평 수직 최대 누적값을 더한 값으로 나눈 임계값으로 구한다. 물체 추적에서는 현재 프레임에서 검출된 물체와 이전 프레임에서 검출된 물체와의 유사성을 비교하여 추적한다. 실험결과 물체 검출속도를 개선시켰고, 실시간으로 물체를 추적할 수 있었으며, 국부적인 움직임까지도 추적할 수 있었다.

• ETRI Journal
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• v.35 no.6
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.838-841
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• 2005

DNA Chip is able to show DNA-Data that includes diseases of sample to User by using complementary characters of DNA. So this paper studied Neural Network algorithm for Image data processing of DNA-chip. DNA chip outputs image data of colors and intensities of lights when some sample DNA is putted on DNA-chip, and we can classify pattern of these image data on user pc environment through artificial neural network and some of image processing algorithms. Ultimate aim is developing of pattern classifying algorithm, simulating this algorithm and so getting information of one's diseases through applying this algorithm. Namely, this paper study artificial neural network algorithm for classifying pattern of image data that is obtained from DNA-chip. And, by using histogram, gradient edge, ANN and learning algorithm, we can analyze and classifying pattern of this DNA-chip image data. so we are able to monitor, and simulating this algorithm.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1349-1355
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• 1999

A power distribution facility map is drawn on cadastral map. Besides, grid lines are added on the map for sectionalization. For automatic recognition of the map, we first extract recognizing regions. In this paper, we propose an extraction method of recognizing regions by partially extending thinned image. The proposed method is consist of three phases, binarization phase, thinning phase and partial extending phase. The first phase generate a binary image using threshold value which is obtained by histogram analysis. The binary image contains many part of recognizing regions, but not all. The second phase generate thinned image which is generated by appling thinning operator to the binary image. And the third phase extends thinned image from terminal point until satisfying termination condition. The proposed method is tested on several power distribution facility maps, and the results are presented.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.487-490
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• 1999

In this paper we propose an efficient content-based image retrieval method using the color and wavelet based features. The color features are extracted from color histograms of the global image and the wavelet based features are extracted from the invariant moments of the high-pass band image through the spatial-frequency analysis of the wavelet transform. The proposed algorithm, called color and wavelet features based query(CWBQ), is composed of two-step query operations for efficient image retrieval: the coarse level filtering operation and the fine level matching operation. In the first filtering operation, the color histogram feature is used to filter out the dissimilar images quickly from a large image database. The second matching operation applies the wavelet based feature to the retained set of images to retrieve all relevant images successfully. The experimental results show that the proposed algorithm yields more improved retrieval accuracy with computationally efficiency than the previous methods.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.113-116
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• 2000

Human face recognition and 3D human face reconstruction has been studied in this paper. To find the facial feature points, find edge from input image and analysis the accumulated histogram of edge information. This paper use a Generic Face Model to display the 3D human face model which was implement with OpenGL and generated with 500 polygons. For reality of 3D human face model, we propose Group matching mapping method between facial feature points and the one of Generic Face Model. The personalized 3D human face model which resembles real human face can be generated automatically in less than 5 seconds on Pentium PC.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.65-68
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• 2011

이 논문에서는 모래의 주성분을 분석하여 콘크리트 배합설계용의 적합성을 판별하는 시험방법을 제안한다. 주성분을 분석하는 방법은 자연모래와 부순 모래, 그리고 혼합모래에 포함된 유해물(점토, 마사토, 염화물)의 패턴을 분석하여 정지영상에서 유해물 비율을 나타내고자 한다. 영상으로 판독된 유해물 비율은 도로공사 품질시험기준에 의해 시험된 데이터와 비교하여 근접한 값을 도출해 내어 건설 자재인 모래에 섞여있는 유해물질을 검출해 내는 알고리즘을 제시한다.