• Title/Summary/Keyword: Image Edge

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Color Image Segmentation for Content-based Image Retrieval (내용기반 영상검색을 위한 칼라 영상 분할)

  • Lee, Sang-Hun;Hong, Choong-Seon;Kwak, Yoon-Sik;Lee, Dai-Young
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.9
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    • pp.2994-3001
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    • 2000
  • In this paper. a method for color image segmentation using region merging is proposed. A inhomogeneity which exists in image is reduced by smoothing with non-linear filtering. saturation enhancement and intensity averaging in previous step of image segmentation. and a similar regions are segmented by non-uniform quantization using zero-crossing information of color histogram. A edge strength of initial region is measured using high frequency energy of wavelet transform. A candidate region which is merged in next step is selected by doing this process. A similarity measure for region merging is processed using Euclidean distance of R. G. B color channels. A Proposed method can reduce an over-segmentation results by irregular light sources et. al, and we illustrated that the proposed method is reasonable by simulation.

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Segmentation of Polygons with Different Colors and its Application to the Development of Vision-based Tangram Puzzle Game (다른 색으로 구성된 다각형들의 분할과 이를 이용한 영상 인식 기반 칠교 퍼즐 놀이 개발)

  • Lee, Jihye;Yi, Kang;Kim, Kyungmi
    • Journal of Korea Multimedia Society
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    • v.20 no.12
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    • pp.1890-1900
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    • 2017
  • Tangram game consists of seven pieces of polygons such as triangle, square, and parallelogram. Typical methods of image processing for object recognition may suffer from the existence of side thickness and shadow of the puzzle pieces that are dependent on the pose of 3D-shaped puzzle pieces and the direction of light sources. In this paper, we propose an image processing method that recognizes simple convex polygon-shaped objects irrespective of thickness and pose of puzzle objects. Our key algorithm to remove the thick side of piece of puzzle objects is based on morphological operations followed by logical operations with edge image and background image. By using the proposed object recognition method, we are able to implement a stable tangram game applications designed for tablet computers with front camera. As the experimental results, recognition rate is about 86 percent and recognition time is about 1ms on average. It shows the proposed algorithm is fast and accurate to recognize tangram blocks.

A Study on 3d Reconstruction and Simulated Implantation of Human Femur Using Consecutive CT-Images (연속된 CT-Image를 이용한 고관절 3d 형상의 재구성 및 Simulated Implantation System 구축에 관한 연구)

  • 민경준;김중규;최재봉;최귀원
    • Journal of Biomedical Engineering Research
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    • v.20 no.2
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    • pp.155-164
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    • 1999
  • In this paper, the prototype of SIS(Simulated Implantation System) for human femoral head is introduced. SIS is a software which carries on a virtual femoral head replacement surgery including 3d visualization as well as various numeric analyses between a patient's femur and artificial femur through certain stages of the image processing and of the computer graphics. Also, processes required after acquiring consecutive CT-images and projected image of an artificial femur are discussed, and the corresponding results including prototype of SIS are given.

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Classification of Man-Made and Natural Object Images in Color Images

  • Park, Chang-Min;Gu, Kyung-Mo;Kim, Sung-Young;Kim, Min-Hwan
    • Journal of Korea Multimedia Society
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    • v.7 no.12
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    • pp.1657-1664
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    • 2004
  • We propose a method that classifies images into two object types man-made and natural objects. A central object is extracted from each image by using central object extraction method[1] before classification. A central object in an images defined as a set of regions that lies around center of the image and has significant color distribution against its surrounding. We define three measures to classify the object images. The first measure is energy of edge direction histogram. The energy is calculated based on the direction of only non-circular edges. The second measure is an energy difference along directions in Gabor filter dictionary. Maximum and minimum energy along directions in Gabor filter dictionary are selected and the energy difference is computed as the ratio of the maximum to the minimum value. The last one is a shape of an object, which is also represented by Gabor filter dictionary. Gabor filter dictionary for the shape of an object differs from the one for the texture in an object in which the former is computed from a binarized object image. Each measure is combined by using majority rule tin which decisions are made by the majority. A test with 600 images shows a classification accuracy of 86%.

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Image Segmentation Using Mathematical Morphology (수리형태학을 이용한 영상 분할)

  • Cho Sun-gil;Kang Hyunchul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.11C
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    • pp.1076-1082
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    • 2005
  • Recently, there have been much efforts in the image segmentation using morphological approach. Among them, the watershed algorithm is one of powerful tools which can take advantages of both of the conventional edge-based segmentation and region-based segmentation. The concept of watershed is based on topographic analogy. But, its high sensitivity to noise yields a very large number of resulting segmented regions which leads to oversegmentation. So we suggest the restricted waterfall algorithm which reduce the oversegmentation by eliminate not only local minima but also local maxima. As a result, the restricted waterfall algorithm has a good segmented image than the other methods, and has a better binary image than the histogram thresholding method.

The Error Diffusion Halftoning Using Local Adaptive Sharpening Control (국부 적응 샤프닝 조절을 사용한 오차확산 해프토닝)

  • 곽내정;양운모;윤태승;안재형
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.4
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    • pp.87-92
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    • 2004
  • Digital halftoning is to quantize a grayscale image to binary image. The error diffusion halftoning generates high quality bilevel image. But that also has some defects such as warms effect, sharpening and etc. To reduce these defects, Kite proposed the modified threshold modulation that has a parameter to control sharpening. Nevertheless some degradation left near edges with large luminance change. In this paver, we propose a method to control the parameter in proportional to local edge magnitude. The results of computer simulation show more reductions of the sharpening in the halftone image. Especially there are great improvement of quality near edges with large luminance change.

A Remote Measurement of Water Level Using Narrow-band Image Transmission (협대역 영상전송을 이용한 원격 수위 계측시스템)

  • Kim, Ki-Joong;Lee, Nam-Ki;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.10
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    • pp.54-63
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    • 2007
  • To measure water levels from remote cites using a narrowband channel, this paper developed a difference image based JPEG communication scheme and a water level measurement scheme using the sparsely sampled images in time domain. In the slave system located in the field, the images are compressed using JPEG after changed to difference images, among which in a period of data collection those showing larger changes are sampled and transmitted. To measure the water level from the images received in the master system which may contain noises caused by various sources, the averaging scheme and Gaussian filter are used to reduce the noise effects and the Y axis profile of an edge image is used to read the water level. Considering the wild condition of the field, a simplified camera calibration scheme is also introduced. The implemented slave system was installed at a river and its performance has been tested with the data collected for a month.

Satellite Image Watermarking Perspective Distance Decision using Information Tagging of GPS (GPS 정보태깅을 이용한 원근거리 판별 기반의 위성영상 워터마킹)

  • Ahn, Young-Ho;Kim, Jun-Hee;Lee, Suk-Hwan;Moon, Kwang-Seok;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.15 no.7
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    • pp.837-846
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    • 2012
  • This paper presents a watermarking scheme based on the perspective distance for the secure mash-up service. The proposed scheme embeds the watermark of the location information of satellite image and the user information using edge color histogram, which is dissimilar to general digital image. Therefore, this scheme can trace the illegal distributor and can protect private information of user through the watermarking scheme that is adaptive to satellite image. Experimental results verified that our scheme has the invisibility and also the robustness against geometric attacks of rotation and translation.

The Analysis of Mix & Match Visual Image of One-Point Graphic Appeared in T-shirt (티셔츠 원 포인트 그래픽에 나타난 Mix & Match 시각 이미지 분석)

  • Lee, Mi-Yoen
    • The Research Journal of the Costume Culture
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    • v.13 no.5 s.58
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    • pp.777-789
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    • 2005
  • Mix & Match Visual Image, appearing in T-shirt one-point graphics, is a new visual image emerged as a result of several trends: development of cutting-edge machinery and computer programs, various needs of consumers, and an international trend of fusion concept. Thus, a concrete research of Mix & Match Visual Images is demanding. This paper studies one-point graphic, which appeared in the SamsungDesignNet, Interfashion Planning, and firstviewkorea, with a focus on apparel T-shirt of women's wear and casual wear from 2001 to 2004. The study shows that the most preferred independent visual image in Mix & Match Visual Images is a typography, and next is in the order of marks, symbols, geometric diagrams and abstract shapes, animals and plants, characters, materials, and collages. As Mix & Match of independent visual images was mainly combined typography with other independent visual images, we need to develop more Mix & Match Visual Images using various independent visual images's mix and match. Then, T-shirt will be one of the most representative items in Korean fashion trend that enable consumers to express their characters, escaping from the old-fashioned concept that T-shirt is just a T-shirt.

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Model Creation Algorithm for Multiple Moving Objects Tracking (다중이동물체 추적을 위한 모델생성 알고리즘)

  • 조남형;김하식;이명길;이주신
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.05a
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    • pp.633-637
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    • 2001
  • In this paper, we proposed model creation algorithm for multiple moving objects tracking. The proposed algorithm is divided that the initial model creation step as moving objects are entered into background image and the model reformation step in the moving objects tracking step. In the initial model creation step, the initial model is created by AND operating division image, divided using difference image and clustering method, and edge image of the current image. In the model reformation step, a new model was reformed in the every frame to adapt appearance change of moving objects using Hausdorff Distance and 2D-Logarithmic searching algorithm. We simulated for driving cart in the road. In the result, model was created over 98% in case of irregular approach direction of cars and tracking objects number.

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