• Journal of Korea Multimedia Society
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• v.18 no.10
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• pp.1172-1179
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• 2015

A wireless license plate region extracting module is proposed for LPR system controlling multiple gates. This module is cheaply implemented using Raspberry Pi which is open source and high performance. First, as the upper 1/3 of the captured image is discarded as it has no useful information on license plate. Using the OpenCV libraries the edge image is got by Canny algorithm after applying Gaussian filtering to gray image, and the labeling is conducted for 4 consecutive numbers in license plate. These numbers are located using various decision equations, and expanding the numbers region the final license plate region can be extracted. The result image is transferred to Server using wifi direct. Using the proposed module it becomes easy to set up and maintain the LPR system. The experimental results showed that the successful extracting rate was 98.4% using 500 car images with 640 × 480 resolution.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.1-18
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• 2003

The automatic recognition of transport containers using image processing is very hard because of the irregular size and position of identifiers, diverse colors of background and identifiers, and the impaired shapes of identifiers caused by container damages and the bent surface of container, etc. We proposed and evaluated the novel recognition algorithm of container identifiers that overcomes effectively the hardness and recognizes identifiers from container images captured in the various environments. The proposed algorithm, first, extracts the area including only all identifiers from container images by using CANNY masking and bi-directional histogram method. The extracted identifier area is binarized by the fuzzy binarization method newly proposed in this paper and by applying contour tracking method to the binarized area, container identifiers which are targets of recognition are extracted. We proposed and applied the ART2-based RBF network for recognition of container identifiers. The results of experiment for performance evaluation on the real container images showed that the proposed algorithm has more improved performance in the extraction and recognition of container identifiers than the previous algorithms.

• Journal of information and communication convergence engineering
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• v.10 no.4
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• pp.378-383
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• 2012

This paper presents the implementation of an automatic road sign recognizer for an intelligent transport system. In this system, lists of road signs are processed with actions such as line segmentation, single sign segmentation, and storing an artificial sign in the database. The process of taking the video stream and extracting the road sign and storing in the database is called the road sign recognition. This paper presents a study on recognizing traffic sign patterns using a segmentation technique for the efficiency and the speed of the system. The image is converted from one scale to another scale such as RGB to grayscale or grayscale to binary. The images are pre-processed with several image processing techniques, such as threshold techniques, Gaussian filters, Canny edge detection, and the contour technique.

• Proceedings of the KSRS Conference
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• 2007.03a
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• pp.167-170
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• 2007

연안 김 양식장의 효과적 관리를 위해서는 실제 시설량의 조사가 펼요하며 인공위성을 이용한 방법이 가장 효과적이다. 본 연구에서는 스펙트로미터에 의한 해수 및 김 양식장 시설에 대한 광 측정을 통하여 파장별 특성을 조사하였다 10m의 해상도를 갖고 있는 SPOT-5 다중분광영상을 사용하였으며，김 양식장의 자동탐지알고리듬의 개발을 위하여 경기도 화성시 제부도 남방해역에 대한 2005년도 영상을 사용하였다. 김 양식장을 추출하기 위하여 우선 3밴드 영상의 분광특성을 이용한 밴드차(Band difference) 영상을 작성하여，두 가지 방법(형태학적 처리기법 및 Canny 에지 탐지기법)으로 처리를 한 후，두 결과를 합성하여 라벨령함으로써 탐지율을 극대화하였다 양식장 시설 현황 조사 결과는，정부에서 전체 생산량을 조절할 수 있게 하며，양식업자가 좋은 수확을 달성하는데 도움이 될 수 있을 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2006-2009
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• 2005

This paper presents a method for registering images using phase correlation technique in fourier domain, hough transform and multi-resolution wavelet. To register images, source and input images are transformed to wavelet domain. An angular transition can be obtained by applying hough transform technique followed by phase correlation. Then we apply phase correlation technique to find x-axis and y-axis transition. We apply wavelet transform to reduce processing time and also use its coefficients as edge information instead of canny detector. With multi-resolution property of wavelet transform, registration time can be greatly reduced. After we get all transition parameters, we transform the input images according to these parameters. Then, we compose and blend all images into a new large image with details of all source images. From our experiment, we can find the accurate transition both x-y translation and angular transition with less error.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.3
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• pp.57-67
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• 1999

본 논문에서는 영상 부호화시 전처리 과정을 수행함으로써 잡음을 제거하는 새로운 알고리듬을 제안하였다. 제안한 알고리듬은 영상의 선명도를 유지할뿐아니라 전체적인 부호화 효율을 높여준다. 효율향상 과정은 다음과 같다. 첫째 블록 특성에 다라 영역을 분류하며, 둘째로는 Canny 연산자와 Sobel 연산자를 이용하여 경계선 방향을 얻는다. 세 번째로 블록 특성과 경계선 방향에 따라 방향성 형태학적 필터를 구한다. 형태학적 필터링은 영상내 존재하는 잡음을 제거하고, 표준 영상의 경우 인간이 시각적으로 느낄 수 없는 성분을 제거한다. 형태학적 필터링은 경계선 성분을 손실시키는 결과가 발생하지만, 제안한 알고리듬은 손실된 경계선 영역을 복원하는 과정을 거친다. 그러한 과정의 결과로, 전체적인 부호화 효율이 향상된다. 특히, 제안한 알고리듬을 적용한 표준영상의 경우, 약 50-50%의 비트 발생량이 줄어드는 결과를 나타내었다. 잡음 분산값을 달리하여 만든 잡음 영상에 제안한 방법을 적용한 결과, 영상의 선명도를 유지하였다. 제안한 알고리듬은 인간의 시각 특성을 고려한 미세한 잡음 제거 방법에서 우수한 성능을 나타내었으며, 영상의 선명도를 유지하는 것을 보여 주었다.

• Journal of information and communication convergence engineering
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• v.8 no.3
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• pp.339-342
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• 2010

An iris image pattern positioning with preserved edge detector, ring zone and clock zone, frequency distribution and overlay matching is presented in this paper. Edge detector is required to be powerful and detail. That is proposed by overlaying Canny with LOG (CLOG). The two reference patterns are made from allocating each gray level on the clock zone and ring zone respectively. The normalized target image is overlaid with the clock zone reference pattern and the ring zone pattern to extract overlapped number, and make a matched frequency distribution to look through a symptom and position of human organ and tissue. The iterating experiments result in the ring and clock zone positioning evaluation.

• Convergence Security Journal
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• v.6 no.3
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• pp.29-35
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• 2006

In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny's edge detector.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1123-1124
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• 2008

In this paper, we develop a program that recognition of the object 3D pose using stereo camera. In order to detect the object, this paper is applied to canny edge detection algorithm and also used stereo camera to get the 3D point about the object and applied to recognize the pose of the object using iterative closest point(ICP) algorithm.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1887-1890
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• 2003

This paper presents a three-dimensional (3D) head pose estimation algorithm using the stereo image. Given a pair of stereo image, we automatically extract several important facial feature points using the disparity map, the gabor filter and the canny edge detector. To detect the facial feature region , we propose a region dividing method using the disparity map. On the indoor head & shoulder stereo image, a face region has a larger disparity than a background. So we separate a face region from a background by a divergence of disparity. To estimate 3D head pose, we propose a 2D-3D Error Compensated-SVD (EC-SVD) algorithm. We estimate the 3D coordinates of the facial features using the correspondence of a stereo image. We can estimate the head pose of an input image using Error Compensated-SVD (EC-SVD) method. Experimental results show that the proposed method is capable of estimating pose accurately.