• Title/Summary/Keyword: Gray-Level

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DIGITAL IMAGE PROCESSING AND CLINICAL APPLICATION OF VIDEODENSITOMETER (실험적으로 제작한 Videodensitometer의 디지털 영상처리와 임상적 적용에 관한 연구)

  • Park Kwan-Soo;Lee Sang-Rae
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.22 no.2
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    • pp.273-282
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    • 1992
  • The purpose of this study was to propose the utility which was evaluated the digital image processing and clinical application of the videodensitomery. The experiments were performed with IBM-PC/16bit-AT compatible, video camera(CCdtr55, Sony Co., Japan), an color monitor(MultiSync 3D, NEC, Japan) providing the resolution of 512×480 and 64 levels of gray. Sylvia Image Capture Board for the ADC(analog to digital converter) was used, composed of digitized image from digital signal and the radiographic density was measured by 256 level of gray. The periapical radiograph(Ektaspeed EP-21, Kodak Co., U. S. A) which was radiographed dried human mandible by exposure condition of 70 kVp and 48 impulses, was used for primary X-ray detector. And them evaluated for digitzed image by low and high pass filtering, correlations between aluminum equivalent values and the thickness of aluminum step wedge, aluminum equivalent values of sound enamel, dentin, and alveolar bone, the range of diffuse density for gray level ranging from 0 to 255. The obtained results were as follows: 1. The edge between aluminum steps of digitized image were somewhat blurred by low pass filtering, but edge enhancement could be resulted by high pass filtering. Expecially, edge enhancement between distal root of lower left 2nd molar and alveolar lamina dura was observed. 2. The correlation between aluminum equivalent values and the thickness of aluminum step wedge was intimated, yielding the coefficient of correlation r=0.9997(p<0.00l), the regression line was described by Y=0.9699X+0.456, and coefficient of variation amounting to 1.5%. 3. The aluminum equivalent values of sound enamel, dentin, and alvolar bone were 15.41㎜, 12.48㎜, 10.35㎜, respectively. 4. The range of diffuse density for gray level ranging from 0 to 255 was wider enough than that of photodenstiometer to be within the range of 1-4.9.

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A Measurement Algorithm using Gray-level Thresholding in Automatic Refracto-Keratometer (그레이-레벨 한계 기법을 이용한 자동 시각 굴절력 곡률계의 측정 알고리즘)

  • Sung, Won;Park, Jong-Won
    • The KIPS Transactions:PartB
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    • v.9B no.6
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    • pp.727-734
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    • 2002
  • Currently. people become interested in the development of measuring instrument related to eyesight. In this study, we developed software of electronic part in automatic refracto-keratometer. If an automatic system, which uses images from an optical instrument, can inform the in-spector of an accurate eyesight measured value after the internal process, the frequency of mistakenly observed value will be reduced considerably. This software is using morphological filtering and gray-level signal enhancing techniques. The morphological filtering is the first process, from images of the optical instrument, to transform an original image which is hard to process into manageable one. The second process is a signal enhancing technique to the first processed image using gray -level thresholding technique and is used to reduce an error caused by the variety in distribution of the gray value of image. Therefore, this software system in electronic part will make more effective eyesight measurement by reducing the error effectively when applied to the optical image which is difficult to get accurate measurement value.

A STUDY ON THE ARTIFICIAL INTERPROXIMAL CARIES DETECTION WITH THE DIGITAL RADIOGRAPHY (디지털방사선촬영술을 이용한 인접면 치아우식증 진단에 관한 실험적 연구)

  • Kwon Ki Jeong;Hwang Eui-Hwan;Lee Sang Rae
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.24 no.1
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    • pp.85-94
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    • 1994
  • The purposes of this study were clinical comparison and evaluation between digital radiography and conventional radiography for the detection of artificial interproximal caries. Four freshly extracted, unrestored posterior teeth were obtained and caries was simulated by drilling semicircled defects with variable size at the interproximal surface of each tooth. The experiments were performed with IBM-PC/32 bit-DX compatible, video camera(VM-S8200, Hitachi Co., Japan), and color monitor(Multisync 3D, NEC, Japan). Sylvia Image Capture Board for the ADC(analog to digital converter) was used, and spatial resolution was 512 × 480 with 256 gray levels. The obtained results were as follows: 1. At the condition of under exposure, the radiographs were superior to the digital images in readability. Also, as the size of the artificial lesion was increased, readability of the radiographs was elevated. 2. The digital images were superior to the radiographs in readability especially under over exsposure. 3. As the exposure time and size of lesion was increased, the gray level of region of interest of the digital image was decreased proportionally. 4. As the F-value of average gray level of region of interest at individual exposure time and size of lesion, gray level of the all lesion sizes was decreased in comparison with that of the normal enamel.

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New Gray Scale Implementaion Method for Improving Dynamic False Contours in ac PDPs (동영상 의사윤곽 개선을 위한 새로운 ac PDP 계조구현 방법)

  • Jung Young-Ho;Jeong Ju Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.1
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    • pp.1-8
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    • 2004
  • We developed a new PDP gray scale implementation method on the basis of the quantized memory addressing(QMA) principle. We defined three wall charge states; 'fully-on', 'off', and 'half-on', by controlling the width of address pulses. With these three wall charge state, we were able to express 255 level gray scale with only 7 sub-fields. Furthermore, in contrast to the conventional driving methods, the sub-field combinations for any two adjacent gray levels differ by only 1 sub-field, at worst, and therefore, eliminate the dynamic false contours. Since this method use 7 sub-field, the sustain discharge Period is increased by more than $70\%$ compared to the 12 sub-field method which reduces the dynamic false contours.

A Study on China's Sea Gray Zone Strategy and Korean Navy's Countermeasures: Focusing on the response to the development of the maritime-based Three Wars (중국의 해양 회색지대 전략과 우리해군 대응책 연구: 해양 기반 삼전(三戰) 전개에 대한 대응을 중심으로)

  • Kim, Nam-su
    • Maritime Security
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    • v.8 no.1
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    • pp.1-39
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    • 2024
  • This study started with the awareness that domestic studies on China's maritime gray zone strategy have been following the analysis results of previous studies, and that only principled positions and directions for countermeasures remain at the 'declarative and conceptual' level. In order to overcome the above problems, the author analyzed the maritime gray zone strategy being developed in the South China Sea, East China Sea, and the West Sea and Ieodo areas, recognizing that China is developing a maritime gray area strategy based on the 'three warfare' that constitutes its own strategic culture. As a result of the analysis, it is predicted that China's maritime gray zone strategy will be more aggressive in order to occupy the West Sea and Ieodo in the future. As a concept of our naval response strategy, The author proposed to 'neutralize' the development effect of 'three warfare', the basis of China's maritime gray zone strategy, to stop the gradual change in the phenomenon induced by China, and to continuously pursue 'return' to a maritime order based on norms and rules. In this study, a 'concrete and systemized' countermeasure to implement this was presented.

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Mechanical Fault Classification of an Induction Motor using Texture Analysis (질감 분석을 이용한 유도 전동기의 기계적 결함 분류)

  • Jang, Won-Chul;Park, Yong-Hoon;Kang, Myeong-Su;Kim, Jong-Myon
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.12
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    • pp.11-19
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    • 2013
  • This paper proposes an algorithm using vibration signals and texture analysis for mechanical fault diagnosis of an induction motor. We analyze characteristics of contrast and pattern of an image converted from vibration signal and extract three texture features using gray-level co-occurrence model(GLCM). Then, the extracted features are used as inputs of a multi-level support vector machine(MLSVM) which utilizes the radial basis function(RBF) kernel function to classify each fault type. In addition, we evaluate the classification performance with varying the parameter from 0.3 to 1.0 for the RBF kernel function of MLSVM, and the proposed algorithm achieved 100% classification accuracy with the parameter of the RBF from 0.3 to 1.0. Moreover, the proposed algorithm achieved about 98% classification accuracy with 15dB and 20dB noise inserted vibration signals.

Detection of Cropland in Reservoir Area by Using Supervised Classification of UAV Imagery Based on GLCM (GLCM 기반 UAV 영상의 감독분류를 이용한 저수구역 내 농경지 탐지)

  • Kim, Gyu Mun;Choi, Jae Wan
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.433-442
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    • 2018
  • The reservoir area is defined as the area surrounded by the planned flood level of the dam or the land under the planned flood level of the dam. In this study, supervised classification based on RF (Random Forest), which is a representative machine learning technique, was performed to detect cropland in the reservoir area. In order to classify the cropland in the reservoir area efficiently, the GLCM (Gray Level Co-occurrence Matrix), which is a representative technique to quantify texture information, NDWI (Normalized Difference Water Index) and NDVI (Normalized Difference Vegetation Index) were utilized as additional features during classification process. In particular, we analyzed the effect of texture information according to window size for generating GLCM, and suggested a methodology for detecting croplands in the reservoir area. In the experimental result, the classification result showed that cropland in the reservoir area could be detected by the multispectral, NDVI, NDWI and GLCM images of UAV, efficiently. Especially, the window size of GLCM was an important parameter to increase the classification accuracy.

Comer Detection in Gray Lavel Images for Wafer Die Position Recognition (웨이퍼 다이 위치 인식을 위한 명암 영상 코너점 검출)

  • 나재형;오해석
    • Journal of KIISE:Software and Applications
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    • v.31 no.6
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    • pp.792-798
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    • 2004
  • In this paper, we will introduce a new corner detector for the wafer die position recognition. The die position recognition procedure is necessary for WSCSP(Wafer Scale Chip Scale Packaging) technology, decide the accuracy of post-procedure. We present a hierarchical gray level corner detection method for the recognition of the die position from a wafer image. The new corner detector divides the corner region into many homocentric circles, and calculates the comer response and the angle of direction about each circle to get an accurate toner point. The new corner detector has a hierarchical structure so it can detect comer point more quickly than general gray level corner detector.

A Study on a Vision Sensor System for Tracking the I-Butt Weld Joints

  • Kim Jae-Woong;Bae Hee-Soo
    • Journal of Mechanical Science and Technology
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    • v.19 no.10
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    • pp.1856-1863
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    • 2005
  • In this study, a visual sensor system for weld seam tracking the I-butt weld joints in GMA welding was constructed. The sensor system consists of a CCD camera, a diode laser with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and arc light. In order to obtain the enhanced image, quantitative relationship between laser intensity and iris opening was investigated. Throughout the repeated experiments, the shutter speed was set at 1/1000 second for minimizing the effect of spatters on the image, and therefore the image without the spatter traces could be obtained. Region of interest was defined from the entire image and gray level of the searched laser stripe was compared to that of weld line. The differences between these gray levels lead to spot the position of weld joint using central difference method. The results showed that, as long as weld line is within $\pm15^{o}$ from the longitudinal straight line, the system constructed in this study could track the weld line successfully. Since the processing time is no longer than 0.05 sec, it is expected that the developed method could be adopted to high speed welding such as laser welding.