• 펄프종이기술
• /
• 제34권2호
• /
• pp.13-21
• /
• 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.

• International journal of advanced smart convergence
• /
• 제13권1호
• /
• pp.92-98
• /
• 2024

The current software industry has an emerging issue with natural language-based requirement specifications. However, the accuracy of such requirement analysis remains a concern. It is noted that most errors still occur at the requirement specification stage. Defining and analyzing requirements based on natural language has become necessary. To address this issue, the linguistic theories of Chomsky and Fillmore are applied to the analysis of natural language-based requirements. This involves identifying the semantics of morphemes and nouns. Consequently, a mechanism was proposed for extracting object state designs and automatically generating code templates. Building on this mechanism, I suggest generating natural language-based comic images. Utilizing state diagrams, I apply changes to the states of comic characters (protagonists) and extract variations in their expressions. This introduces a novel approach to comic image generation. I anticipate highly productive comic creation by applying software processes to Cartoon ART.

• 패션비즈니스
• /
• 제15권4호
• /
• pp.43-54
• /
• 2011

Printing process has been a major sector in the textile industries for a long period of time. With the advent of digital textile printing, the complex procedures of printing preparations and after-treatment processes have been streamlined. For the design of the motives of images to be printed, the use of image handling software, e.g. Photoshop(Adobe), has been of prime importance. Even though the software is extremely useful and functionally versatile, there are many laborious steps involved for the specific textile printing process. The use of a CAD-based textile printing function may help the textile printing process in streamlining the complex processing stages. The image qualities of the output designs have been compared objectively with the aid of several image similarity evaluation schemes including the SSIM, and FSIM Index methods.

• 천문학논총
• /
• 제12권1호
• /
• pp.47-62
• /
• 1997

In this paper we present a newly improved telescope control software and a newly developed data analysis software package for effective use of the Solar Flare Telescope(SOFT) The telescope control software permits us to make not only auto tacking of the SOFT, but also quantitative measurement of the solar irradiation, allowing us to provide weather monitorings. In addition we introduce an IDL widget software package for both monochromatioc (MONO version) and polarimetric data (VMG version) analysis. The MONO version is capable of loading FITS files, changing colors and contrast, image processing, displaying plots, and saving displayed plots by selected formats The VMG version, on the other hand provides a calibration of polarimetric data and plots of reduced vector magnetic fields.

• Journal of Korean Neurosurgical Society
• /
• 제60권4호
• /
• pp.441-447
• /
• 2017

Objective : Computed tomography (CT)-based method of three dimensional (3D) analysis ($MIMICS^{(R)}$, Materialise, Leuven, Belgium) is reported as very useful software for evaluation of OPLL, but its reliability and reproducibility are obscure. This study was conducted to evaluate the accuracy of $MIMICS^{(R)}$ system, and inter- and intra-observer reliability in the measurement of OPLL. Methods : Three neurosurgeons independently analyzed the randomly selected 10 OPLL cases with medical image processing software ($MIMICS^{(R)}$) which create 3D model with Digital Imaging and Communication in Medicine (DICOM) data from CT images after brief explanation was given to examiners before the image construction steps. To assess the reliability of inter- and intra-examiner intraclass correlation coefficient (ICC), 3 examiners measured 4 parameters (volume, length, width, and length) in 10 cases 2 times with 1-week interval. Results : The inter-examiner ICCs among 3 examiners were 0.996 (95% confidence interval [CI], 0.987-0.999) for volume measurement, 0.973 (95% CI, 0.907-0.978) for thickness, 0.969 (95% CI, 0.895-0.993) for width, and 0.995 (95% CI, 0.983-0.999) for length. The intra-examiner ICCs were 0.994 (range, 0.991-0.996) for volume, 0.996 (range, 0.944-0.998) for length, 0.930 (range, 0.873-0.947) for width, and 0.987 (range, 0.985-0.995) for length. Conclusion : The medical image processing software ($MIMICS^{(R)}$) provided detailed quantification OPLL volume with minimal error of inter- and intra-observer reliability in the measurement of OPLL.

• 대한간호학회지
• /
• 제51권5호
• /
• pp.597-616
• /
• 2021

Purpose: This study's objective was to investigate the effects of programs that improve adolescents' body image, using a systematic review and meta-analysis. Methods: A literature search was performed in eleven electronic databases, using preferred reporting items for systematic reviews and meta-analysis guidelines. Population characteristics, contents of the programs, and measured outcomes were systematically reviewed from 21 selected studies. To estimate the size of the effects, meta-analysis was conducted using Comprehensive Meta-Analysis software. Results: The contents of the programs that aimed to improve body image included physical, psychological, interpersonal, and sociocultural interventions. Sixteen studies were meta-analyzed to estimate the effect size of body-image improvement programs. Results showed that the program for body-image improvement had significant effects on body satisfaction (effect size [ES] = 0.56, 95% confidence interval [CI] = 0.23 to 0.89), and body dissatisfaction (ES = - 0.15, 95% CI = - 0.23 to - 0.08). Conclusion: The program for body image improvement in adolescents includes a combination of physical, psychological, interpersonal relationship, and socio-cultural dimensions. The program that seeks to improve body image appears to be effective at increasing body satisfaction, and at reducing body dissatisfaction in adolescents. Thus, it is necessary to develop and apply multidimensional programs for adolescents to have a positive body image.

• 한국산학기술학회논문지
• /
• 제8권2호
• /
• pp.226-231
• /
• 2007

본 논문은 핵발전소의 초음파 비파괴 평가를 수행하기 위하여 구현된 초음파 신호 분석 소프트웨어에 관한 것이다. 구현된 소프트웨어는 1차원 초음파 신호뿐만 아니라 이를 가공하여 B, C 및 D 스캔 영상으로의 확장이 가능하고 각 스캔 영상으로부터 의미 있는 파라메터를 측정할 수 있는 기능을 갖추고 있다. 구현된 소프트웨어는 이미 알고 있는 시편의 결함에 적용하여 프로그램의 정확성을 검증하였다.

• Journal of Astronomy and Space Sciences
• /
• 제20권4호
• /
• pp.403-416
• /
• 2003

There are common features, in both imaging surveys and image processing, between astronomical observations and remote sensing. Handling large amounts of data, in an easy and fast way, has become a common issue. Implementing pipeline software can be a solution to the problem, one which allows the processing of various kinds of data automatically. As a case study, the development of pipeline software for the EIS (European Southern Observatory Imaging Survey) is introduced. The EIS team has been conducting a sky survey to provide candidate targets to the 250 VLTs (Very Large Telescopes) observations. The survey data have been processed in a sequence of five major data corrections and reductions, i.e. preprocessing, flat fielding, photometric and astrometric corrections, source extraction, and coaddition. The processed data are eventually distributed to the users. In order to provide automatic processing of the vast volume of observed data, pipeline software has been developed. Because of the complexity of objects and different characteristic of each process, it was necessary to analyze the whole works of the EIS survey program. The overall tasks of the EIS are identified, and the scheme of the EIS pipeline software is defined. The system structure and the processes are presented, and in-depth flow charts are analyzed. During the analyses, it was revealed that handling the data flow and managing the database are important for the data processing. These analyses may also be applied to many other fields which require image processing.

• 한국소프트웨어감정평가학회 논문지
• /
• 제17권2호
• /
• pp.151-159
• /
• 2021

도표로 작성된 양식 문서에서 도표의 레이아웃 해석에 필요한 그리드 라인을 추출하기 위해 다양한 필터링 또는 모폴로지 등의 방법을 사용하여 직선 성분을 선명하게 개선시키기 위한 연구들이 많이 진행되고 있다. 도표의 직선 성분을 선명화하더라도 직선 내부에 절단 점들이 존재하거나 기울어진 경우에는 직선 추출이 어렵고 도표 셀들의 레이아웃을 논리적으로 표현하는데 여전히 어려움을 겪을 수 있다. 본 연구에서는 직선에 절단점들이 존재하거나 기울어져도 직선을 검출할 수 있는 라인 추적 알고리즘을 제안하였다. 이를 이용하여 그리드 라인을 추출하고 라인들의 교차점 및 셀 정보들을 찾아 도표의 구조를 분석할 수 있는 알고리즘을 마련하였다. 제안한 알고리즘을 실제 양식 문서 영상을 대상으로 실험한 결과 평균 0.41초 처리시간에 96.4%의 도표 구조를 분석할 수 있음을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권11호
• /
• pp.4426-4442
• /
• 2020

Since scene segmentation is becoming a hot topic in the field of autonomous driving and medical image analysis, researchers are actively trying new methods to improve segmentation accuracy. At present, the main issues in image semantic segmentation are intra-class inconsistency and inter-class indistinction. From our analysis, the lack of global information as well as macroscopic discrimination on the object are the two main reasons. In this paper, we propose a Densely connected residual Attention network (DA-Res2Net) which consists of a dense residual network and channel attention guidance module to deal with these problems and improve the accuracy of image segmentation. Specifically, in order to make the extracted features equipped with stronger multi-scale characteristics, a densely connected residual network is proposed as a feature extractor. Furthermore, to improve the representativeness of each channel feature, we design a Channel-Attention-Guide module to make the model focusing on the high-level semantic features and low-level location features simultaneously. Experimental results show that the method achieves significant performance on various datasets. Compared to other state-of-the-art methods, the proposed method reaches the mean IOU accuracy of 83.2% on PASCAL VOC 2012 and 79.7% on Cityscapes dataset, respectively.