• Title/Summary/Keyword: boundary pixel

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Advanced Liver Segmentation by Using Pixel Ratio in Abdominal CT Image

  • Yoo, Seung-Wha;Cho, Jun-Sik;Noh, Seung-Mo;Shin, Kyung-Suk;Park, Jong-Won
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.39-42
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    • 2000
  • In our study, by observing and analyzing normal liver in abdominal CT image, we estimated gray value range and generated binary image. In the binary image, we achieved the number of hole which is located between pixels. Depending on the ratio, we processed the input image to 4 kinds of mesh images to remove the noise part that has the different ratio. With the Union image of 4 kinds of mesh images, we generated the template representing general outline of liver and subtracted from the binary image so the we can represent the organ boundary to be minute. With results of proposed method, processing time is reduced compared with existing method and we compared the result image to manual image of medical specialists.

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Hue Preserving Color Gamut Mapping (색조 보존을 위한 칼라 색역 매핑)

  • 성영모;박은홍;임재권
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.106-109
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    • 2003
  • This paper presents a hue preserving gamut mapping algorithm for color monitor and printer. The gamuts of monitor and printer are set by the profile of color reproduction media, specified by ICC(International Color Consortium) and provided by vendors, then those gamuts are represented on the CIE xy color space. In case that the color of monitor are located on out-of-gamut of printer, these are clipped on the point of gamut boundary of printer towards a reference white point. On the other hand, colors are in-gamut of printer are unchanged. An image generated by the algorithm keeps a ratio of each pixel of original image. Advantages of the algorithm are easy to implement and fast processing time than other algorithms which involve hue preserving especially in CIELAB color space.

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Shot Boundary Detection Algorithm By Using Pixel and Histogram Information (화소와 히스토그램 정보를 이용한 샷 전환 탐지 알고리즘)

  • Lee, Joon-Goo;Han, Ki-Sun;You, Byoung-Moon;Hwang, Doo-Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.527-530
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    • 2012
  • 비디오 데이터를 효율적으로 검색, 정렬, 탐색, 분류하기 위해서는 프레임 간의 샷 전환 탐지가 선행되어야 한다. 본 논문에서는 디지털 비디오 데이터의 샷 전환 탐지를 위해 비디오 스트림을 구성하고 있는 각 프레임들 간의 화소 밝기 차이와 히스토그램의 변화를 이용하였다. 플래쉬 등과 같은 인위적이고 급격한 화소 밝기변화에 의한 오류를 최소화하기 위해 샷 전환 탐지 이전에 각 프레임 간의 밝기 보상을 적용하였다. 밝기 보정 된 프레임으로부터 프레임의 서브 블록 간의 지역적 화소 밝기 정보, 그리고 프레임의 화소 밝기 값 히스토그램을 비교하여 샷 전환을 탐지한다. 실험에서 제안된 알고리즘은 국가기록원 소장 비디오에 적용하여 효과가 있음을 보였다.

Refinement of Ground Truth Data for X-ray Coronary Artery Angiography (CAG) using Active Contour Model

  • Dongjin Han;Youngjoon Park
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.134-141
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    • 2023
  • We present a novel method aimed at refining ground truth data through regularization and modification, particularly applicable when working with the original ground truth set. Enhancing the performance of deep neural networks is achieved by applying regularization techniques to the existing ground truth data. In many machine learning tasks requiring pixel-level segmentation sets, accurately delineating objects is vital. However, it proves challenging for thin and elongated objects such as blood vessels in X-ray coronary angiography, often resulting in inconsistent generation of ground truth data. This method involves an analysis of the quality of training set pairs - comprising images and ground truth data - to automatically regulate and modify the boundaries of ground truth segmentation. Employing the active contour model and a recursive ground truth generation approach results in stable and precisely defined boundary contours. Following the regularization and adjustment of the ground truth set, there is a substantial improvement in the performance of deep neural networks.

A blocking artifacts reduction algorithm using block boundary pixel difference characteristics (블록 경계 화소차값의 특성을 이용한 블록화 현상 제거 알고리즘)

  • 채병조;손채봉;오승준
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.5
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    • pp.1299-1309
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    • 1998
  • In this paper, we propose a new approach for reducing the blocking artifact that is one of drawbacks of the block-based Discrete Cosine Transform (DCT) without introducing additional information or significant blurring. We modify the inter-block discontinuity minimization technique to preserve edges within a block as well as to reduce visible block boundaries. The homogeneity of each block is decided by the threshold value reated to Q-factor, which is included in a JPEG as well as MPEG streams. The quantization error is estimated by minimizing the discontinuity, which is weighted in proportion to block discontinuity and added to each pixel in the block to compensate block artifacts. The proposed algorithm reconstructs images which have less noticeable block boundaries from a subjective viewpoit without anyconstraints.

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Extraction of Brain Boundary and Direct Volume Rendering of MRI Human Head Data (MR머리 영상의 뇌 경계선 추출 및 디렉트 볼륨 렌더링)

  • Song, Ju-Whan;Gwun, Ou-Bong;Lee, Kun
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.6
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    • pp.705-716
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    • 2002
  • This paper proposes a method which visualizes MRI head data in 3 dimensions with direct volume rendering. Though surface rendering is usually used for MRI data visualization, it has some limits of displaying little speckles because it loses the information of the speckles in the surfaces while acquiring the information. Direct volume rendering has ability of displaying little speckles, but it doesn't treat MRI data because of the data features of MRI. In this paper, we try to visualize MRI head data in 3 dimensions as follows. First, we separate the brain region from the head region of MRI head data, next increase the pixel level of the brain region, then combine the brain region with the increased pixel level and the head region without brain region, last visualizes the combined MRI head data with direct volume rendering. We segment the brain region from head region based on histogram threshold, morphology operations and snakes algorithm. The proposed segmentation method shows 91~95% similarity with a hand segmentation. The method rather clearly visualizes the organs of the head in 3 dimensions.

A Stereo Matching Method Based on the Dynamic Programming to Reduce the Streaking Phenomena (스트리킹 현상을 감소시키기 위한 다이내믹 프로그래밍 기반의 스테레오 정합 방법)

  • Park, Jang-Ho;Choi, Hyun-Jun;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.5
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    • pp.1217-1230
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    • 2010
  • The dynamic programming based methods, a kind of globally optimizing stereo matching methods, has the inherent advantage that the occlusion regions can be found during the process. But it also has a serious drawback of streaking phenomena. This paper focuses on reducing the streaking phenomena by adjusting the penalties in calculating the cost matrix and re-establishing the optimal path in the back-tracing process using the boundary information of the image. Especially we use a pixel expansion method in re-establishing the path, which is the results from expanding the pixel information of the ones just left the boundaries. Experiments with the four image pairs provided by the Middlebury site showed the results that the proposed method has the disparity error ratio of 6.33% and the rank is 29, which is competitive to the best method among the previously published dynamic programming based methods.

Fast Intra Prediction using Pixel Variation in H.264 (H.264에서 화소 변화량을 이용한 빠른 인트라 예측)

  • Lee, Tak-Gi;Kim, Sung-Min;Sin, Kwang-Mu;Chung, Ki-Dong
    • Journal of Korea Multimedia Society
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    • v.11 no.7
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    • pp.956-965
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    • 2008
  • H.264/AVC is the newest video coding standard of ITU-T VCEG and the ISO/IEC MPEG, offering a significant performance improvement over previous video coding standards. However, the computational complexity of H.264/AVC is drastically increased because of new technologies such as intra prediction, variable block size, quarter-pels motion estimation/compensation, etc. In this paper, we propose a fast intra prediction scheme which has two step processing. The first step is a fast block size decision which can be calculated only in one block without considering all cases of $4{\times}4$ block and $16{\times}16$ block. The complexity of the intra prediction can be reduced by using boundary difference values of macroblock. After selecting the block size, we can make mode decision using the neighbouring reference pixels and representative pixels of the block in the second step. The experimental results show that the proposed algorithm saved on the average 41.5% encoding time without any significant PSNR losses.

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An Improved Area Edge Detection for Real-time Image Processing (실시간 영상 처리를 위한 향상된 영역 경계 검출)

  • Kim, Seung-Hee;Nam, Si-Byung;Lim, Hae-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.99-106
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    • 2009
  • Though edge detection, an important stage that significantly affecting the performance of image recognition, has been given numerous researches on its execution methods, it still remains as difficult problem and it is one of the components for image recognition applications while it is not the only way to identify an object or track a specific area. This paper, unlike gradient operator using edge detection method, found out edge pixel by referring to 2 neighboring pixels information in binary image and comparing them with pre-defined 4 edge pixels pattern, and detected binary image edge by determining the direction of the next edge detection exploring pixel and proposed method to detect binary image edge by repeating step of edge detection to detect another area edge. When recognizing image, if edge is detected with the use of gradient operator, thinning process, the stage next to edge detection, can be omitted, and with the edge detection algorithm executing time reduced compared with existing area edge tracing method, the entire image recognizing time can be reduced by applying real-time image recognizing system.

Design Anamorphic Lens Thermal Optical System that Focal Length Ratio is 3:1 (초점거리 비가 3:1인 아나모픽 렌즈 열상 광학계 설계)

  • Kim, Se-Jin;Ko, Jung-Hui;Lim, Hyeon-Seon
    • Journal of Korean Ophthalmic Optics Society
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    • v.16 no.4
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    • pp.409-415
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    • 2011
  • Purpose: To design applied anamorphic lens that focal length ratio is 3:1 optical system to improve detecting distance. Methods: We defined a boundary condition as $50^{\circ}{\sim}60^{\circ}$ for viewing angle, horizontal direction 36mm, vertical direction 12 mm for focal length, f-number 4, $15{\mu}m{\times}15{\mu}m$ for pixel size and limit resolution 25% in 33l p/mm. Si, ZnS and ZnSe as a materials were used and 4.8 ${\mu}m$, 4.2 ${\mu}m$, 3.7 ${\mu}m$ as a wavelength were set. optical performance with detection distance, narcissus and athermalization in designed camera were analyzed. Results: F-number 4, y direction 12 mm and x direction 36 mm for focal length of the thermal optical system were satisfied. Total length of the system was 76 mm so that an overall volume of the system was reduced. Astigmatism and spherical aberration was within ${\pm}$0.10 which was less than 2 pixel size. Distortion was within 10% so there was no matter to use as a thermal optical camera. MTF performance for the system was over 25% from 33l p/mm to full field so it was satisfied with the boundary condition. Designed optical system was able to detect up to 2.9 km and reduce a diffused image by decreasing a narcissus value from all surfaces except the 4th surface. From sensitivity analysis, MTF resolution was increased on changing temperature with the 5th lens which was assumed as compensation. Conclusions: Designed optical system which used anamorphic lens was satisfied with boundary condition. an increasing resolution with temperature, longer detecting distance and decreasing of narcissus were verified.