• Journal of information and communication convergence engineering
• /
• v.12 no.3
• /
• pp.168-172
• /
• 2014

In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.59 no.1
• /
• pp.210-216
• /
• 2010

In this study, we propose a novel method to segment an individual tooth region in a true color image. The difference of the intensity in RGB is initially extracted and subsequent morphological reconstruction is applied to minimize the spurious segmentation regions. Multiple seeds in the tooth regions are chosen by searching regional minima and a Sobel-mask edge operations is performed to apply MCWA(Marker-Controlled Watershed Algorithm). As the results of applying MCWA transform for our proposed tooth segmentation algorithm, the individual tooth region can be resolved in a CCD tooth color image.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.6
• /
• pp.1207-1214
• /
• 2009

In this study, we propose a novel color-image segmentation algorithm to discern the teeth region utilizing RG intensity and its relevant RGB histogram features with resolving the variations of its maximum intensity in terms of peaks and valleys. Tooth candidates in a CCD image are first extracted by applying RGB color multi-threshold levels and consequently the successive morphological image operations and a Sobel-mask edge processing are performed to resolve the teeth region and its contour.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10b
• /
• pp.571-573
• /
• 2003

본 논문에서는 카메라 내장형 휴대폰을 이용한 아바타 영상 생성 시스템을 제안하고자 한다. 먼저 정면에서 찍은 상반신 컬러영상의 배경제거를 위하여 흑백영상으로 변환한 후, sobel edge 방법을 적용하여 수축 및 확장처리를 하였다. 이후, 배경이 제거된 영상의 얼굴을 구성하는 각 부분(머리카락, 얼굴형태, 눈, 코, 잎, 귀)을 추출하는 과정을 거친다. 제일먼저 filling 방법을 적용하여 머리카락 영역을 추출한 후, 얼굴영역은 skin-color 모델을 적용하여 추출하였다. 얼굴의 형태는 얼굴의 상하좌우의 끝점을 이용한 계란형을 기본으로 하였으며, 눈, 코. 잎. 귀 부분은 얼굴의 형태정보를 이용하여, 각 부분들의 위치 정보를 구하였다. 이 정보를 이용하여 이미 만들어 놓은 샘플 아바타와 가장 유사한 샘플을 선택한 후, 각 부분들을 조립함으로서 나와 닮은 아바타 영상을 만든다.

• International Journal of Ocean System Engineering
• /
• v.2 no.1
• /
• pp.57-61
• /
• 2012

In this paper we use the Kohonen neural network based Self Organizing Map (SOM) algorithm for Urdu Character Recognition. Kohenen NN have more efficient in terms of performance as compare to other approaches. Classification is used to recognize hand written Urdu character. The number of possible unknown character is reducing by pre-classification with respect to subset of the total character set. So the proposed algorithm is attempt to group similar character. Members of pre-classified group are further analyzed using a statistical classifier for final recognition. A recognition rate of around 79.9% was achieved for the first choice and more than 98.5% for the top three choices. The result of this paper shows that the proposed Kohonen SOM algorithm yields promising output and feasible with other existing techniques.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.923-924
• /
• 2008

Image completion is to repair a portion of removed image automatically. In this paper, we propose an image completion technique with inner structure estimation. Our method consists of two steps. An inner structure is first estimated by using sobel edge detector. Then, the removed pixels are repaired using similar patches in the known region. By experimental results, it is shown that our approach works well on natural images.

• Proceedings of the IEEK Conference
• /
• 2008.06a
• /
• pp.1211-1212
• /
• 2008

In this paper, we propose image process modeling as a part of location based surveillance system for unauthorized target recognition and tracking in harbor, airport, military zone. For this, we compress and store background image in lower resolution and perform object extraction and motion tracking by using sobel edge detection and difference picture method between real images and a background image. In addition to, we use Independent Component Analysis Neural Network for moving target recognition. Experiments are performed for object extraction and tracking of moving targets on road by using static camera in 20m height building and it shows the robust results.

• Journal of KSNVE
• /
• v.9 no.3
• /
• pp.509-516
• /
• 1999

The ESPI (Electronic Speckle Pattern Interferometry) algorithm has been simulated to calculate vibrational modes of a thin right-angled STS304 plate. The phase transformation of the reference wave of the ESPI is carried out only one time during vibration in order to clarify ESPI speckle patterns. Two dimensional vibrational modes are calculated from one ESPI pattern before vibration onset and two ESPI patterns during vibrations but with and without the phase transformation. The ESPI harmonic results are compared with those derived from the finite element method (FEM), and they agree very well. Additionally a phase unwrapping algorithm has been newly developed to derive a displacement map from an ESPI phase map.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.11
• /
• pp.5506-5521
• /
• 2017

Three-dimensional video (3DV), as the new generation of video format standard, can provide the viewers with a vivid screen sense and a realistic stereo impression. Meanwhile the view synthesis has become an important issue for 3DV application. Differently from the conventional methods based on depth, in this paper we propose a new view synthesis algorithm, which can employ the correlation among views and warp in the image domain only. There are mainly two contributions. One is the incorporation of sobel edge points into feature extraction and matching, which can obtain a better stable homography and then a visual comfortable synthesis view compared to SIFT points only. The other is a novel image blending method proposed to obtain a better synthesis image. Experimental results demonstrate that the proposed method can improve the synthesis quality both in subjectivity and objectivity.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2004.03a
• /
• pp.529-534
• /
• 2004

고해상도 위성영상을 이용하여 수치지도를 제작함에 있어 가장 큰 문제점은 레스터 자료인 위성영상에서 경계검출을 통해 벡터자료의 형태로 제작하는 어려움이 있다. 본 연구에서는 경계검출을 통하여 위성영상에서 지형의 경계를 검출해내고, 이를 스크린 디지 타이징 기법을 적용하여 벡터라이징 한 후 나타난 결과를 국토지리정보원의 수치지도와 비교하여 정확도를 비교ㆍ평가하였다. 대상 범위는 대전광역시 유성구 가정동 일부지역을 IKONOS로 촬영된 공간해상도 1m의 위성영상을 사용하였다. 위성영상의 전처리는 기하보정과 정사보정을 거친 후 영상강조를 하였고, 여러 가지의 필터링을 적용하여 경계검출을 수행하였다. 경계검출 방법 중에 하나인 Sobel 연산자를 적용한 후 축척 1:5,000 수치지도와의 중첩을 통하여 표준편차(Root Mean Square Error : RMSE)를 산출하여 비교ㆍ분석하였다. 그리고 스크린 디지타이징 기법을 적용하여 추출한 벡터자료를 건물, 도로 및 임야로 분류하여 수치지도와 중첩하여 정확도를 분석하였다. 그 결과 건물과 도로의 경우에는 공공측량 작업규정에서 정하고 있는 축척 1:5,000의 평면위치 허용오차 기준을 만족하고 있지만, 임야의 경우는 축척 1:10,000 이상의 허용오차기준에 만족되고 있음을 알 수 있었다.