• 제목/요약/키워드: general image

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퍼지 $\alpha$ 컷 집합에 의한 고무 타이어 영상의 문자 윤관선 추출 (Edge Detection of Characters on the Rubber Tire Image Using Fuzzy $\alpha-Cut$ Set)

  • 김경민;박중조;박귀태
    • 전자공학회논문지B
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    • 제31B권6호
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    • pp.71-80
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    • 1994
  • The purpose of this paper is to explore the use of fuzzy set theory for image processing and analysis. As an application example, the fuzzy method of edge detection is proposed to extract the edges of raised characters on tires.In general, Sobel, Prewitt, Robert and LoG filters are used to detect the edge, but it is difficult to detect the edge because of ambiguity of representations, noise and general problems in the interpretation of tire image. Therefore, in his paper, the fuzzy property plane has been extracted from the spatial domain using the ramp-mapping function. And then the ideas of fuzzy MIN and MAX are applied in removing noise and enhancement of the image simultaneously. From the result of MIN and MAX procedure a new fuzzy singleton is generated by extracting the difference between adjacent membership function values. And the edges are extracted by applying fuzzy $\alpha$-cut set to the fuzzy singletion, Finally, these ideas are applied to the tire images.

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임상에서 흔히 관찰되는 영상판독 오류 (Image interpretation errors often observed in a dental clinic)

  • 박인우
    • 대한치과의사협회지
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    • 제54권9호
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    • pp.712-728
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    • 2016
  • These days, the clinical course of dental imaging sector has done a lot of implant-related imaging courses, including cone beam CT. In contrast, the general image reading course is not given a lot of opportunities to learn. Therefore, it is imperative that we talk about the general image interpretation that can be read easily applied in a dental clinic. When we see a strange radiographic finding of our patient in the dental clinic, we should first check whether the radiographic finding is a normal finding or a morbidity. If the finding is diagnosed as a morbidity, you should make plans for the appropriate therapy. The most important step is classification between normal state and morbidity. Some lesions may occur without any clinical symptoms. Therefore, we should read all the parts of radiographs, even the patient does not have clinical symptoms.

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몽골 종합병원 충성고객의 병원선택에 영향을 미치는 요인 (Factors Influencing on Hospital Choice of the General Hospital among Mongolian Customers with Loyalty)

  • 이현숙
    • 한국병원경영학회지
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    • 제26권2호
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    • pp.68-78
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    • 2021
  • Background:The purpose of this study was to identify factors influencing on hospital choice of the general hospital among customers with loyalty in Mongolia. Methods:This study was divided into 5 types of hospital choice factor such as physical, human, efficiency, accessibility, and hospital image. Data were assessed using 229 patients who visit at a general hospital in Mongolia. The collected data from June 20 to July 20 in 2020 were conducted the self-administered questionnaires and analyzed frequency, t-test, ANOVA, and logistic regression by using SPSS 25.0. Results:The level of education was significant in the mean difference of customer types by demographic characteristics. Expecially, factors affecting hospital choice of loyalty customers were human and hospital image. Conclusion:This study suggests that it is necessary to understand present and potential consumer's needs, wants, and demands. Also, it is important to concern about aspect of marketing strategy of the general hospital in Mongolia.

종합병원의 간호 서비스 이미지 포지셔닝 연구;서울시내 5개 병원을 중심으로 (A Study on Positioning of Nursing Service Image in General Hospital;Centering around 5 General Hospitals in Seoul)

  • 임지영
    • 간호행정학회지
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    • 제5권2호
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    • pp.369-388
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    • 1999
  • This study is a descriptive research to establish a positioning strategy of nursing service image, making a perception map on each hospital's nursing service image and ranking construct factors of nursing service image. The results in this study were as follows; 1. The rank of construct factors of nursing service image which were thought important by subjects was the first 'Kindness', the second 'Reliability', the third 'Professional Knowledge', the fourth 'Responsibility', and the fifth 'Advanced Nursing Skill'. 2. The perception map for nursing service image on each hospital showed a hierarchial structure and positioned the first B hospital, the second C hospital, the third D hospital, the fourth A hospital, and the fifth E hospital. The perception map for construct factors of nursing service image and hospitals showed the first dimension : 'Reliability', the second dimension : Kindness', the third dimension : 'Mission', 'Accuracy', 'Neat Appearance', and 'Ethical Aspect', and the fourth dimension : 'Client Advocate', 'Humanistic Consideration', 'Professional Knowledge', 'Responsibility', and 'Advanced Nursing Skill'. 3. The findings of subject's characteristics which affected degree of likeness on each hospital nursing service image to make a marketing strategy were as follows : In A hospital D hospital, and E hospital, the subject group whose hospital dates were under 1 week, education level was upper graduate university, and age was between 40's and 50's, were appeared to have low nursing service image on following construct factors : 'Kindness', 'Reliability', 'Responsibility', 'Mission', 'Neat Appearance', and 'Humanistic Consideration'. In B hospital and C hospital the subject group whose hospital dates were under 1 week or over 5 weeks, sex was woman, and age was 20' s or 40's, having a admission experience on subject hospitals, were appeared to have low nursing service image on following construct factors : 'Professional Knowledge', 'Advanced Nursing Skill', 'Ethical Aspect', and 'Humanistic Consideration'. As the based on above results, nursing managers can use positioning method to develope a marketing strategy for nursing service image.

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입원한 조현병 환자의 신체이미지 왜곡 (Body Image Distortion among Inpatients with Schizophrenia)

  • 김성진;문석우;김대호
    • 생물정신의학
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    • 제19권4호
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    • pp.211-218
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    • 2012
  • Objectives Body image distortion is found in eating disorder and obesity and there are some evidence that schizophrenia is associated with body image distortion. This study sought to find whether schizophrenic patients report more body image distortion than healthy individuals and whether it is related with symptomatology. Methods A total of 88 inpatients with schizophrenia and 88 healthy controls were recruited. Weight, height, and body image accuracy were assessed in all participants, and assessment of mood, psychotic symptom severity and self-esteem, and personal and social performance scale were conducted. Results The patients with schizophrenia had higher Body Mass Index (p < 0. 001) and underestimated their body size more than controls (26.14% vs. 5.13%, p < 0.001). Multiple regression analysis showed that lower depressive symptoms and higher scores of general psychopathology predicted underestimation of body size. Conclusion Weight gain and metabolic syndrome are common adverse events of pharmacological treatment of schizophrenia. Thus, underestimation of body size among patients with schizophrenia may interfere with effort to lose weight or seek weight reduction programs. Clinicians need to consider possible unterestimation of underestimation of body size in patients whose general symptomatology is severe.

Broken Detection of the Traffic Sign by using the Location Histogram Matching

  • Yang, Liu;Lee, Suk-Hwan;Kwon, Seong-Geun;Moon, Kwang-Seok;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제15권3호
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    • pp.312-322
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    • 2012
  • The paper presents an approach for recognizing the broken area of the traffic signs. The method is based on the Recognition System for Traffic Signs (RSTS). This paper describes an approach to using the location histogram matching for the broken traffic signs recognition, after the general process of the image detection and image categorization. The recognition proceeds by using the SIFT matching to adjust the acquired image to a standard position, then the histogram bin will be compared preprocessed image with reference image, and finally output the location and percents value of the broken area. And between the processing, some preprocessing like the blurring is added in the paper to improve the performance. And after the reorganization, the program can operate with the GPS for traffic signs maintenance. Experimental results verified that our scheme have a relatively high recognition rate and a good performance in general situation.

간호사의 이미지와 호감도 분석 (Analysis of the Image and Likability of the Nurse)

  • 염영희;김경희;손희숙;전재희;이정민;김명애
    • 임상간호연구
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    • 제21권2호
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    • pp.169-179
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    • 2015
  • Purpose: The purpose of this study was to investigate nurse images and likability that were perceived by various groups in the general population. Methods: Using cross-sectional descriptive design, six groups of people were invited to participate in the survey. The participants included nurses, physicians, nurse aids/technicians, patients/caregivers, college students, and the general public. A total of 1,530 individuals were drawn from 42 hospitals nationwide. Bhargava's likability questionnaires and the Ward Nurse Image tool were used. Results: Compared with other groups, patients and caregivers had higher scores for likability and better nurse image than other groups. Most respondents perceived nurses are clean and caring, but many individuals still had the image that nurses are submissive. Conclusion: To improve nurse image, perceptions from various groups of people need to be considered and programs develop to show the positive aspects of nursing and nurses.

내·외부고객의 병원선택요인이 병원이미지에 미치는 영향 (The Impact of Hospital Selection Factors between Internal and External Customers on Hospital Image)

  • 이현숙
    • 보건행정학회지
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    • 제23권3호
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    • pp.281-288
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    • 2013
  • Background: The purpose of this study is to grasp the factors forming hospital image and to measure evaluation of internal and external customers towards hospital choice factors. Methods: This study is based 4 types of choice factor such as physical, human, accessibility, and connection. Data were assessed using 98 patients and 96 internal employees who work at A general hospital in Seoul and 116 patients and 97 internal employees at B general hospital in Chunkcheongbuk-do. Data were collected with self-administered questionnaires from February 17 to April 29 in 2012 and analyzed SPSS ver. 18.0 by using frequency, t-test, analysis of variance, correlation, and multiple regression. Results: The results of this study show that factors affecting hospital image is significant different between internal and external customers of hospital A and B. Expecially the finding of this study will be applied to improve connection factors in administrative department of hospital for hospital image. Conclusion: This study presents primary data for correct decision making to authorities of local hospitals that have concern about marketing strategy for hospital image.

특징 영역 추출을 통한 내용 기반 영상 검색 (Content-based Image Retrieval by Extraction of Specific Region)

  • 이근섭;정승도;조정원;최병욱
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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    • pp.77-80
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    • 2001
  • In general, the informations of the inner image that user interested in are limited to a special domain. In this paper, as using Wavelet Transform for dividing image into high frequency and low frequency, We can separate foreground including many data. After calculating object boundary of separated part, We extract special features using Color Coherence Vector. According to results of this experiment, the method of comparing data extracting foreground features is more effective than comparing data extracting features of entire image when we extract the image user interested in.

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적응 양자화를 위한 의료 영상 정보의 변환 부호화에 관한 연구 (A Study Transform Coding of Medical Image Using Adaptive Quantization Method)

  • 한영오;박장춘
    • 대한의용생체공학회:의공학회지
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    • 제10권3호
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    • pp.243-252
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    • 1989
  • In this study, medical images, which are X-ray image and CT image, are compressed by the adam live coding technique. The medical images may be treated as special ones, because they are different from general images in many respects. The statistical characteristics that medical images only have in transform domain are analyzed, and then the improved quantization method is proposed for medical images. For chest X-ray image and CT head image, the better results are obtained by the improved adaptive coding technique.

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