• Title/Summary/Keyword: Image Analysis

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Image Analysis of the Reflection of Silk, Polyester and Pile Fabrics According to the Directions (실크, 폴리에스테르 및 파일직물의 방향에 따른 반사에 대한 이미지 분석)

  • 신경인;김종준
    • Textile Science and Engineering
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    • v.39 no.6
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    • pp.714-722
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    • 2002
  • The application of the computer technology has been widespread in every aspect of industrial and scientific fields including fiber and fabric manufacturing. Especially, the digital image analysis is on the rise, which is the way of picking up the necessary information from an image like picture, painting, etc. This study is on reflective glossiness related to the fabric luster which is one of evaluation parameters necessary for development of high value-added clothes. Luster is an optical and aesthetic factor which can be evaluated by digital image analysis. This paper analyzed reflective glossiness through some image analysis programs and evaluated luster indirectly. Quantifying the reflective glossiness by the digital image analysis makes it easier to compare the luster of silk with that of manmade fabric.

Image Analysis: A Novel Technique to Determine the Efficiency of Wiping Cloths

  • Lee Jae-Hyung;Kim Seong-Hun;Oh Kyung-Wha
    • Fibers and Polymers
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    • v.7 no.1
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    • pp.73-78
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    • 2006
  • The ability to absorb liquid and the dust removal performance are important factors for wiping cloths used to remove contaminants. We have developed a method that can determine the contaminant removal performance of wiping cloths. In the gravimetric method, experimental errors are unavoidable because the contaminant plate is much heavier than the contaminant material. However, we used image analysis to reduce the experimental errors, and did not use the heavy contaminant plate. The correlation coefficient between the image. analysis and the gravimetric methods was very high, at R=0.97, with a significance level of 95%. From the correlation analysis and empirical data, the image analysis method is a useful tool for measuring wiping efficiency. The wiping efficiency measured using image analysis has a close relationship to the wiping speed, viscosity of the contaminant, and wiping pressure, at the significance level of 95%.

Image Analysis and DC Conductivity Measurement for the Evaluation of Carbon Nanotube Distribution in Cement Matrix

  • Nam, I.W.;Lee, H.K.
    • International Journal of Concrete Structures and Materials
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    • v.9 no.4
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    • pp.427-438
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    • 2015
  • The present work proposes a new image analysis method for the evaluation of the multi-walled carbon nanotube (MWNT) distribution in a cement matrix. In this method, white cement was used instead of ordinary Portland cement with MWNT in an effort to differentiate MWNT from the cement matrix. In addition, MWNT-embedded cement composites were fabricated under different flows of fresh composite mixtures, incorporating a constant MWNT content (0.6 wt%) to verify correlation between the MWNT distribution and flow. The image analysis demonstrated that the MWNT distribution was significantly enhanced in the composites fabricated under a low flow condition, and DC conductivity results revealed the dramatic increase in the conductivity of the composites fabricated under the same condition, which supported the image analysis results. The composites were also prepared under the low flow condition (114 mm < flow < 126 mm), incorporating various MWNT contents. The image analysis of the composites revealed an increase in the planar occupation ratio of MWNT, and DC conductivity results exhibited dramatic increase in the conductivity (percolation phenomena) as the MWNT content increased. The image analysis and DC conductivity results indicated that fabrication of the composites under the low flow condition was an effective way to enhance the MWNT distribution.

Characterization of Sheet Formation by Image Analysis (화상분석 시스템을 이용한 지필도 평가)

  • 원종명
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.31 no.4
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    • pp.30-40
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    • 1999
  • The possibility of the characterization of sheet formation by image analysis with transmitted light was evaluated. Specific perimenter, average perimeter and variation could not be used to predict the sheet formation because there were no corrleation. Although image analysis method still have a lot of problems , it was found that the contrast intensity obtained by image analysis with transmitted light can be used to predict the sheet formation. In the case of highly filled sheet, the intensity of transmitted light was too low to characterize the sheet formation . However, it was possible to characterize the formation of unfilled heavy weight paper($\leq$200g/㎡).

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Application of Image Analysis to the Evaluation of Natural Soils (천연오염 평가에 대한 화상분석의 응용)

  • 이일심;차옥선
    • Journal of the Korean Society of Clothing and Textiles
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    • v.21 no.1
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    • pp.194-205
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    • 1997
  • The typical instrumental assessment of ununiform natural soils has been carried out by yellowing of the specimens instead of the surface reflectance or the calculated formula. However, the regular instrumental area of sample holder is necessary for the measure of yellowing. Therefore, this study attempted to apply image analysis which had full color image by scanning of one time without limitation of instrumental area. The test samples were analyzed pseudo and full color image. This paper evaluated soil with hue of yellowing and gradation of gray level with color image analysis. Then, it was studied propriety of image analysis with correlation of yellowing, hue and gray level. Ultimately, the proposed image analysis in this paper was advanced method against the typical instrumental assessment.

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A New Method for Measuring Fiber Length and Fiber Coarseness Using Image Analysis Technique (화상분석법을 응용한 섬유장 및 섬유 조도 측정법 개발)

  • 배진한;김철환;박종열
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.34 no.2
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    • pp.13-21
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    • 2002
  • A new method for measuring fiber length and fiber coarseness was developed using image analysis technique. Measured fibers were transferred to a glass slide on a filter paper placed on a wire of the laboratory paper machine. After staining the fibers on the slide, mean fiber lengths and coarseness were measured by a commercial image analysis software, named KS400. The resultant data obtained from the image analysis displayed a close correlation with those from FS-200 and also showed excellent reproducibility as well as those from FS-200. The length of synthetic fibers over 10 mm long could be readily measured by this new analysis technique. Finally, a substantial improvement in precision for measuring fiber length and coarseness was made with less operator's effort for a given time.

Operating Condition Diagnosis of the Lubricated Machine Moving Surface by Image Analysis (화상해석에 의한 기계윤할 운동면의 작동상태 진단)

  • 박흥식
    • Journal of Advanced Marine Engineering and Technology
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    • v.23 no.1
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    • pp.79-87
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    • 1999
  • The most part of the faculty drop a trouble and damage of machine equipment even if whatever cause they break out take place at local and trifling place and the factor dominating their trouble is due to wear debris occurred in the lubricated machine moving surface. This study has been car-ried out to identify morphology of wear debris on the lubricated machine moving system by means of computer image analysis. Namely the wear debris contained in lubricating oil extracted from movable machine equipment will be filtered through membrane filter(void diameter 0.45${\mu}m$) and will be analyzed with its data information such as 50% volume diameter aspect roundness and reflectivity. Morphological characteristic of wear debris is easily distinguished by four shape parameters it is necessary to divide small class of every 100 wear debris in total wear particles in order to distinguish morphological characteristic of wear debris more easily by computer image analysis. We are sure that operation condition diagnosis of the lubricated machine moving surfaces is possible by computer image analysis.

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MORPHOLOGICAL CHARACTERIZATION OF COTTON FIBER USING IMAGE ANALYSIS

  • Cho, Yong-Jin;Han, Young J.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.812-819
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    • 1996
  • This study was performed to quantify microscopically morphological characteristics of cotton fiber to identify parameters for quality evaluation using image analysis . The image of each fiber was captured by a Pc-based color imaging system using a conventional microscope. Ends of individual cotton fibers were glued on a microscope slide without any tension or straightening. A modified watershed technique was implemented to identify individual convolution segments, which were defined as sections of the fiber bordered by two neighboring convolutions. Length, area and perimeter of each convolution segment were measured directly from the image . Average width, shape factor and number of convolution segments in mm were calculated from the measured parameters. The performance of the image analysis algorithm was compared with visual varieties of cotton . The image analysis results agreed with visual inspection in 89.6% of the tested images.

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Using Image Analysis Technique to Test Grain Hardness in Wheat (주상분석법을 이용한 밀의 경.연질성 구분)

  • 박동수;고종민;서득용;김경민;손재근
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.42 no.5
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    • pp.571-578
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    • 1997
  • The development of new approaches for wheat grain hardness assessment may impact the grain industry in marketing, milling and breeding. This experiment was to develop a new method for fast identification between softness and hardness, and for maintaining germinability of seed after measurement in wheat. Results from the comparisons of accuracy and significance between image analysis and conventional methods(NIRS and textrometer) were summarized. Data obatined from image analysis for grain hardness did not show any difference from those of the conventional methods. The protein content analyzed by micro-Kjeldahl method was significantly correlated with the grain hardness measured by image analysis, textrometer, and NIRS. The analysis for wheat grain hardness using image analysis may be used as an alternative method to the conventional methods. This method also takes the seeds after analysis can be utilized as breeding materials in early generations.

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DNA Ploidy in Anaplastic Carcinoma of the Thyroid Gland by Image Analysis (갑상선 역형성암종의 DNA 배수성에 관한 화상분석학적 연구)

  • Lee, Ji-Shin;Lee, Min-Cheol;Park, Chang-Soo;Juhng, Sang-Woo
    • The Korean Journal of Cytopathology
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    • v.6 no.1
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    • pp.10-17
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    • 1995
  • Anaplastic carcinoma of the thyroid gland is one of the most malignant tumors. Recently, DNA ploidy measured by flow cytometry and image analysis has been suggested as an additional useful indicator of tumor behavior. Studies on the occurrence and clinical significance of DNA aneuploidy in anaplastic carcinoma of the thyroid are rare. In this study, the pattern of DNA ploidy was measured by image analysis on Papanicolaou stained slides in four cases of anaplastic carcinoma and also measured by flow cytometry using paraffin blocks in two cases. In all cases of anaplastic carcinoma, DNA aneuploidy was found by image analaysis. By flow cytometry, one case had a diploid peak and the other case had an aneuploid peak. According to the above results, we conclude that anaplastic carcinoma of the thyroid glands have a high incidence of DNA aneuploidy and image analysis using Papanicolaou stained slides is a useful method in detecting DNA aneuploidy.

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