• 반도체디스플레이기술학회지
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• 제9권4호
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• pp.63-66
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• 2010

Detecting marker coordinates is important in augmented reality system based on tag. If a marker is not detected, objects can't be augmented. In this paper, we propose a noise reduction method for augmented reality. Using a blue color space to HIS color transformation was performed on the binary. Erosion operator and the dilation operator of the binary images were performed. Experimental results show that proposed method produces a tag image recognizable in various light environments. And using the area of the rectangle, the labeling could be detected through the tag. Tag recognition rate is improved by removing noise.

• ETRI Journal
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• 제27권6호
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• pp.814-817
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• 2005

Fast binary dilation and erosion algorithms using run-length encoding (RLE) are proposed. RLE is an alternative way of representing a binary image using a run, which is a sequence of '1' pixels. First, we derive the run-based representation of dilation and erosion and then present the full steps of the proposed algorithms in detail.

• Korean Journal of Mathematics
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• 제27권4호
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• pp.1109-1118
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• 2019

In this paper, we introduce the notion of residuated and Galois connections on adjoint triples and investigate their properties. Using the properties of residuated and Galois connections, we solve fuzzy relation equations and give their examples.

• Journal of applied mathematics & informatics
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• 제13권1_2호
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• pp.393-404
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• 2003

In general, a differential operator can be used as a tool of treating the local properties of given function. However, when the given function is varied with high frequency and has irregular form with non-stationary evolution it may not act its role sufficiently as in case of nowhere differentiable curves. In this paper we introduce a multi-scale derivative as a form of weakened global derivative so that it may explain its semi global diffusion properties as well as local ones for the various irregular diffusion phenomena.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.45-51
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• 1995

A novel definition for fuzzy mathematical morphology is described The generalized-mean operator plays the key role for this definition. Several hard constraints for standard generalized-mean have been eliminated. Complete mathematical description for obtaining fuzzy erosion and dilation is provided. The definitions are well suited for neural network implementation. Therefore, the parameters for the fuzzy definition can be optimized using neural network learning paradigm.

• 반도체디스플레이기술학회지
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• 제11권1호
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• pp.79-83
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• 2012

We use adaptive method and determine threshold coefficient so that the algorithm could decide a suitable binarization threshold coefficient of the image to detecting a marker; therefore, we solve the light influence on the shadow area and dark region. In order to improve the speed for reducing computation we created Integral Image. The algorithm detects an outline of the image by using canny edge detection for getting damage or obscured markers as it receives the noise removed picture. The strength of the line of the outline is extracted by Hough transform and it extracts the candidate regions corresponding to the coordinates of the corners. Markers extracted using the equation of a straight edge to find the coordinates. By using the equation of straight the algorithm finds the coordinates the corners. of extracted markers. As a result, even if all corners are obscured, the algorithm can find all of them and this was proved through the experiment.

• 한국정보과학회논문지:소프트웨어및응용
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• 제27권3호
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• pp.266-274
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• 2000

진단이나 인체 모델의 형성에 있어서 필수적인 의료 영상의 분할(Segmentation)은 정확성을 얻기 위해 대부분 수작업에 의해 수행되고 있다. 하지만 수작업은 많은 시간이 소비되며, 같은 영역을 재분할했을 때 동일한 결과를 얻기가 어렵다. 이를 해결하기 위해 본 논문에서는 사용하기 편리하면서 수작업의 정확성을 유지할 수 있는 반자동화된 영상 분할방법을 제안한다. 제안된 방법은 먼저 사용자로부터 분할하고자 하는 영역의 경계에 해당하는 제어점을 몇 개 입력받고 제어점들간의 최소 비용 경로를 연결하여 외곽선을 획득하는 Live-wire를 수행한다. 하지만 Live-wire는 톱날 모양의 외곽선을 형성하거나 영역의 침식을 발생시키므로, 이러한 문제점을 해결하기 위해서 획득된 분할 영역의 외곽선을 재설정시킨 후 이것을 장벽으로 사용하여 SRG(Seeded Region Growing)을 수행하였다. 제안된 User-steered balloon방법은 Live-wire의 문제점을 해결할 뿐만 아니라, SRG가 성장시 새어나가는(Leakage) 문제점도 해결할 수 있다. 본 논문에서는 제안된 방법을 가지고 Visible Human의 다리 근육에 대한 분할을 수행하여 제안된 방법을 검증하였다.

• 해양환경안전학회지
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• 제17권2호
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• pp.131-136
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• 2011

컴퓨터 비젼을 이용한 항행선박의 항적을 계산하고 교통량을 측정하는 방법은 해양사고의 예방관점에서 사고발생 가능성 여부를 예측해 볼 수 있는 유용한 방법이다. 본 연구에서는 컴퓨터 비젼을 이용하여 영상축소, 미분연산자, 최대 최소값 등을 이용하여 선박을 인식한 후 실세계 상에서의 좌표 값을 계산하여 실시간 항적을 전자 해도에 표시함으로서 해상 구조물과의 충돌여부를 직접 육안으로 확인 할 수 있는 알고리즘을 개발하였다. 본 연구에서 개발된 알고리즘은 영역 정보를 기반으로 개발되었기 때문에 점 정보에 의존하고 있는 기존 레이더 시스템의 단점을 보완하는 장점을 지니고 있다.

• Journal of information and communication convergence engineering
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• 제12권3호
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• pp.168-172
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• 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.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.220-228
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• 2022

Image always carry useful information, detecting a text from scene images is imperative. The proposed work's purpose is to recognize scene text image, example boarding image kept on highways. Scene text detection on highways boarding's plays a vital role in road safety measures. At initial stage applying preprocessing techniques to the image is to sharpen and improve the features exist in the image. Likely, morphological operator were applied on images to remove the close gaps exists between objects. Here we proposed a two phase algorithm for extracting and recognizing text from scene images. In phase I text from scenery image is extracted by applying various image preprocessing techniques like blurring, erosion, tophat followed by applying thresholding, morphological gradient and by fixing kernel sizes, then canny edge detector is applied to detect the text contained in the scene images. In phase II text from scenery image recognized using MSER (Maximally Stable Extremal Region) and OCR; Proposed work aimed to detect the text contained in the scenery images from popular dataset repositories SVT, ICDAR 2003, MSRA-TD 500; these images were captured at various illumination and angles. Proposed algorithm produces higher accuracy in minimal execution time compared with state-of-the-art methodologies.