• Title/Summary/Keyword: Image Analysis

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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%.

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.

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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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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    • 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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360° Projection Image Analysis Method for the Calibration (보정을 위한 고해상도 360° 프로젝션 영상 분석 방법)

  • Han, Jung-Soo;Kim, Gui-Jung
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.203-208
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    • 2015
  • Image degradation will occur depending on hardware characteristics according to the lapse of time between beam projectors when multivision system is installed in the Theme park/Exhibition/Science Museum. In this paper, we have researched the 10-bit High-depth and high-resolution $360^{\circ}$ projection image analysis technique to solve the problems of quality and the maintenance of the theater. The goal is to minimize the economic losses and the development of special theater calibration system that can efficiently support a quality of an image. We proposed the method of image analysis technology, and explained the detailed functions and evaluation methods for image analysis technique. Evaluation method included the performance items, and proposed reasonable value to the experimental method and the goal value.

Image Analysis of a Lateral Flow Strip Sensor for the Detection of Escherichia coli O157:H7

  • Kim, Giyoung;Moon, Ji-Hea;Park, Saet Byeol;Jang, Youn-Jung;Lim, Jongguk;Mo, Changyeun
    • Journal of Biosystems Engineering
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    • v.38 no.4
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    • pp.335-340
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    • 2013
  • Purpose: This study was performed to develop a lateral flow strip sensor for the detection of pathogenic Escherichia coli O157:H7 in various samples. Also, feasibility of using an image analysis method to improve the interpretation of the strip sensor was evaluated. Methods: The lateral flow strip sensor has been fabricated based on nitrocellulose lateral-flow membrane. Colloidal gold and E. coli O157:H7 antibodies were used as a tag and a receptor, respectively. Manually spotted E. coli O157:H7 antibody and anti-mouse antibody on nitrocellulose membrane were used as test and control dots, respectively. Feasibility of the lateral flow strip sensor to detect E. coli O157:H7 were evaluated with serially diluted E. coli O157:H7 cells in PBS or food samples. Test results of the lateral flow strip sensor were measured with an image analysis method. Results: The intensity of the test dot started to increase with higher concentration of the cells were introduced. The sensitivities of the sensor were both $10^4$ CFU/mL Escherichia coli O157:H7 spiked in PBS and in chicken meat extract, respectively. Conclusions: The lateral flow strip sensor and image analysis method could detect E. coli O157:H7 in 20 min, which is significantly quicker than conventional plate counting method.

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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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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The Impact of the Safety Awareness & Performance by the Intelligent Image Analysis System (지능형 영상분석 시스템이 작업자 안전의식 및 행동에 미치는 영향)

  • Jang, Hyun Song
    • Journal of the Korea Safety Management & Science
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    • v.17 no.3
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    • pp.143-148
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    • 2015
  • The study examined the relationship between workers' safety awareness, safety performance and the components of the intelligent image analysis system in accordance with preventing the workers from safety hazard in dangerous working area. Based on the safety performance model, we include safety knowledge, safety motivation, safety compliance and safety participation, and we also define three additional factors of the intelligent image analysis system such as functional feature, penalty and incentive by using factor analysis. SEM(Structural Equation Modeling) analyses on the data from the total of 73 workers showed that functional feature of intelligent analysis system and incentive were positively related to safety knowledge and safety motivation. And mediation effects of the relationship were verified to safety compliance and safety participation through safety knowledge as well.

A Study on the Luster of Commercially Available Fabrics -Analysis of Images Acquired at Various Observing Angles- (직물광택의 변각촬영 이미지에 대한 분석적 연구)

  • 신경인;김종준
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.8
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    • pp.1117-1127
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    • 2002
  • This paper is on the luster property of fertile fabric materials which is one of the important factors related to the development of clothing materials leading to the value-added products. Using several image analysis techniques, the optical properties, especially luster related ones, of the commercially available fabrics were measured and analyzed. The fabric samples included 6 kinds of preliminary experimental fabrics along with 22 kinds of fabric which were commercially available. The images acquired at various observing angles are taken by 44 Points and these Pictures are analyzed into luster through the image analysis program. The preliminary experiment demonstrated the effects of weave types and the number of yarn twist on the luster of the fabrics through the use of the image analysis program.