• 제목/요약/키워드: gray level

검색결과 703건 처리시간 0.025초

A Look-Up Table Based Error Diffusion Algorithm for Dynamic False Contour Reduction of Plasma Display Panels

  • Lee, Ho-Seop;Kim, Choon-Woo
    • Journal of Information Display
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    • 제2권2호
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    • pp.32-38
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    • 2001
  • PDP(plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look-up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

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PDP 고효율 고화질 구동 알고리즘 설계 및 FPGA 구현 (A new Driving Algorithm Design and Implementation for High Efficiency and High Image Quality in PDP)

  • 차수익;이동호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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    • pp.152-154
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    • 2005
  • This paper proposes the new subfield method to erase reverse gray levels and low gray level contour in AC plasma display panel(PDP). In the conventional method, it is supposed that output luminance levels of a PDP increase regularly. But actual output luminance levels of a PDP increase irregularly. Therefore, conventional methods are unable to effectively reduce low gray-level contours and reverse gray levels. Accordingly, a new subfield method is applied to improve the low gray-level expression in PDP. Conclusively this paper clear proof that a new subfield method can suppress low gray-level contours and reverse gray levels more effectively than conventional methods.

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영상처리 기법을 이용한 입경 측정시 배경 명도가 측정 정밀도에 미치는 영향 (Determination of Background Gray-level for Accurate Measurement of Particles in using Image Processing Method)

  • 고광웅;이상용
    • 대한기계학회논문집B
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    • 제24권4호
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    • pp.599-607
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    • 2000
  • In this study, experiments have been performed to examine the effects of background gray-level on the depth-of-field and on the in-focus criteria. The normalized value of contrast(VC) and the gradient indicator(GI) were used as the in-focus criteria for the small and the large size-ranges of particles, respectively. The slightly larger number of pixels were detected with the brighter background. The maximum of the normalized value of contrast(VCmax) is decreased with the brighter background and its deviation from that with the background gray-level of 160 turned out to be about $pm$15% when the background gray-level changes from 100 to 200. However, the maximum gradient indicator(GImax) changes with the background gray-level within only $pm$5%. The depth-of-field for the VC-applicable particle-size range is largely dependent on the background gray-level. On the other hand, the depth-of-field for the GI-applicable particle-size range changes only slightly with the background gray-level. To keep the normalized standard deviation of the particle size within 0.1, the background gray-level should be set 160$pm$20 for both the VC-applicable and GI-applicable ranges which cover the particle size between $10{\mu}m$ and $300{\mu}m$.

그레이레벨 이미지에서의 엔트로피 코딩 성능 향상을 위한 순위 기법 (A Ranking Method for Improving Performance of Entropy Coding in Gray-Level Images)

  • 유강수;심춘보
    • 한국정보통신학회논문지
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    • 제12권4호
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    • pp.707-715
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    • 2008
  • 본 논문에서는 엔트로피 부호화기를 통해 그레이레벨 이미지에서의 효율적인 압축 알고리즘을 제안한다. 제안하는 기법의 핵심은 원래의 그레이레벨 이미지 정보를 특정 순위 정보로 변환하는 것이다. 이를 위해 먼저, 그레이레벨 값을 가지는 정보를 부호화하기 전에 이웃하는 주변 픽셀(그레이레벨) 값들에 대해서 상호 발생 빈도수를 계산한다. 그런 후, 이미 계산된 상호 발생 빈도수에 따른 특정 순위를 각 그레이레벨 값에 적용한다. 마지막으로, 엔트로피 부호화기를 통해 순위 정보를 전송하여 압축을 수행한다. 제안하는 기법은, 영상의 통계적 발생 빈도에 따른 정보를 토대로, 그레이레벨 이미지를 순위 영상으로 변환함으로써 기존의 엔트로피 코딩 기법의 성능을 향상시킨다. 시뮬레이션 결과 8비트의 그레이레벨 이미지에 대해서 제안하는 기법이 기존의 엔트로피 부호화기에 비해 최대 37.85%까지 압축 성능을 더 향상시킴을 알 수 있었다.

화상분석기를 이용한 어저귀 섬유의 형태학적 특성과 물성연구 (Study of Morphology and Physical Properties of Indian Mallow(Abutilon avicennae Gaertner) Fibers by Image Analyzer)

  • 정선화;조남석
    • 펄프종이기술
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    • 제35권4호
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    • pp.17-22
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    • 2003
  • A kind of image analysis system is used to investigate the structural features of the papers made from Indian mallow. The screen mark on the paper was identified and analyzed. The dusts, shives and fiber bundles were manifested and calculated. In the aspect of Indian mallow hanji's surface characteristics analyzed by an Image analyzer, the average of gray level and its standard deviation hanji from the woody core were rather lower than of bast fiber pulp because of better sheet formation of the formers. Hower. high brightness hanji showed high value of gray level. The sheet formation and paper opacity were increased with the decrease of standard deviation of gray level. From these results, gray level measurement could be used to predict the paper opacity as well as sheet formation.

A Robust Crack Filter Based on Local Gray Level Variation and Multiscale Analysis for Automatic Crack Detection in X-ray Images

  • Peng, Shao-Hu;Nam, Hyun-Do
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.1035-1041
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    • 2016
  • Internal cracks in products are invisible and can lead to fatal crashes or damage. Since X-rays can penetrate materials and be attenuated according to the material’s thickness and density, they have rapidly become the accepted technology for non-destructive inspection of internal cracks. This paper presents a robust crack filter based on local gray level variation and multiscale analysis for automatic detection of cracks in X-ray images. The proposed filter takes advantage of the image gray level and its local variations to detect cracks in the X-ray image. To overcome the problems of image noise and the non-uniform intensity of the X-ray image, a new method of estimating the local gray level variation is proposed in this paper. In order to detect various sizes of crack, this paper proposes using different neighboring distances to construct an image pyramid for multiscale analysis. By use of local gray level variation and multiscale analysis, the proposed crack filter is able to detect cracks of various sizes in X-ray images while contending with the problems of noise and non-uniform intensity. Experimental results show that the proposed crack filter outperforms the Gaussian model based crack filter and the LBP model based method in terms of detection accuracy, false detection ratio and processing speed.

컴퓨터 보조진단을 위한 초음파 영상에서 갑상선 결절의 텍스쳐 분석 (Texture analysis of Thyroid Nodules in Ultrasound Image for Computer Aided Diagnostic system)

  • 박병은;장원석;유선국
    • 한국멀티미디어학회논문지
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    • 제20권1호
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    • pp.43-50
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    • 2017
  • According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.

비트평면 감축을 이용한 블록 절단부호화에 관한 연구 (A Study on the Block Truncation Coding Using the Bit-plane Reduction)

  • 이형호;박래홍
    • 대한전자공학회논문지
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    • 제24권5호
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    • pp.833-840
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    • 1987
  • A new Block Truncation Coding(BTC) technique reducing the bit-plane and using differential pulse code modulation (DPCM) is proposed and compared with the conventional BTC methods. A new technique decides whether the subblock can be approximated to be uniform or not. If the subblock can be approximated to be uniform(merge mode), we transmit only the gray-level informantion. It not (split mode), we transmity both the bit-plane and the gray-level information. DPCM method is proposed to the encoding of gray-level information when the subblock can be approximated to be uniform. Also modified quantization method is presented to the encoding of gray-level information when the subblock is not uniform. This technique shows the results of coding 256 level images at the average data rate of about 0.75 bits/pel.

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뽕나무 한지의 지합특성 (Sheet Formation Properties of Morus Hanji)

  • 이일로;조남석
    • 펄프종이기술
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    • 제38권3호
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    • pp.47-60
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    • 2006
  • This study was carried out to investigate the sheet formation properties of Morus Hanjis, made of bast and whole stalk pulps by different pulping methods, such as alkali, alkali-peroxide and sulfomethylated pulping. Two species of Morus, M. alba and M. lhou, were used. Effect of morphological properties of pulp stocks on the sheet formation and its gray levels based on optical property were evaluated using an Image analyzer. In addition, the effect of fiber distribution index(FDI) which was calculated from tile data of Confocal laser scanning microscopy(CLSM) on the sheet formation and optical properties of Morus Hanji were also discussed. On the sheet formation, Hanji from whole stalk pulp was superior than that of bast pulp. The more the sheet formation improved, the more paper opacity decreased. In the aspect of Hanji's surface characteristics analyzed by an Image analyzer, the average gray level and its standard deviation of Hanji from the whole stalk pulp were rather lower than those of bast pulp because of better sheet formation of the former. However, high brightness Hanji showed high value of gray level. The sheet formation and paper opacity were increased with the decrease of standard deviation of gray level. From these results, gray level measurement could be used to predict the paper opacity as well as sheet formation. Sheet formation of whole stalk Hanji and its FDI measured by CLSM were higher than those of bast fibers. In conclusion, the sheet formation and opacity of Hanji could be evaluated by standard deviation value of Hanji's gray level using an Image analyzer and by fiber distribution index using CLSM.

그레이 레벨 연결성 복원 하드웨어 구조 (A Hardware Architecture for Retaining the Connectivity in Gray - Scale Image)

  • 김성훈;양영일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.974-977
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    • 1999
  • In this paper, we have proposed the hardware architecture which implements the algorithm for retaining the connectivity which prevents disconnecting in the gray-scale image thinning To perform the image thinning in a real time which find a skeleton in image, it is necessary to examine the connectivity of the skeleton in a real time. The proposed architecture finds the connectivity number in the 4-clock period. The architecture is consists of three blocks, PS(Parallel to Serial) Converter and State Generator and Ridge Checker. The PS Converter changes the 3$\times$3 gray level image to four sets of image pixels. The State Generator examine the connectivity of the central pixel by searching the data from the PS Converter. the 3$\times$3 gray level image determines. The Ridge Checker determines whether the central pixel is on the skeleton or not The proposed architecture finds the connectivity of the central pixel in a 3$\times$3 gray level image in the 4-clocks. The total circuits are verified by the design tools and operate correctly.

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