1. 레이저변위계 및 x-y로봇을 이용하여 계측한 3차원 데이터를 컴퓨터실의 PC/AT에 데이터를 전송하고, Visual Basic(Microsoft)을 이용하여 프로그램화한 화상처리시스템에 의해 머스크멜론 네트의 추출과 그 특징을 확인할 수 있었다. 2. 시용 배양액농도 및 배양액 시용시기를 다르게 함으로써 네트의 높이 및 폭의 차이를 확인하는 것이 가능했다. 3. 머스크멜론 네트의 특징인 높이 및 폭은 시용 배양액농도에 따라서 각각 다르다는 것을 알 수 있었다. 배양액의 농도가 낮을수록 네트의 점유율은 낮아지고, 폭은 넓어지는 경향이 보였다.

영상 인식 기술은 평면 영상에 대해서 많이 연구되고 그 성능 또한 발전하고 있다. 그러나 평면 영상이 아닌 구면 파노라마 영상과 다양한 환경에서 주어지는 특수한 형태의 영상에 대한 인식은 평면과 다르게 기하학적인 왜곡으로 인해서 많은 어려움이 따른다. 본 논문에서는 평면영상의 인식 기술에서 최근 각광받는 훈련을 통한 신경망 인식 기법이 구면 파노라마 영상의 인식에서도 쓰일 수 있음을 보인다. 또한 구면 영상에 대한 기존 신경망 모델의 인식률을 높이기 위해서 큐브맵 변환을 활용하는 방법을 제시한다.

Purpose - Competition among cities around the world are rapidly shifting from competition of production factors such as labor costs and quality of raw materials to competition between the consumption factors such as quality of life, settlement environment, culture, and place. The entry into the era of competition between consumption factors is not only attracting investment for strengthening city competitiveness, but also actively inducing urban image reconstruction and new image making. Therefore, various studies related to urban marketing are being carried out. The object of this study is to investigate the effect of city brand image on city brand recognition and city loyalty based on the questionnaire of external citizens about Changwon city. Research design, data, and methodology - The data were collected from 200 Seoul and Busan citizens. Reliability and exploratory factor analysis were conducted through the SPSS program, and confirmatory factor analysis and structural equation modeling were conducted by using the AMOS program. Results - As a result of the hypothesis test, six hypotheses were adopted among the nine hypotheses. In summary, pleasant image, dynamic image, and good administrative image have a significant positive impact on city brand recognition. The magnanimous image did not have a significant effect on city brand recognition. In the impact of city brand image on city loyalty, magnanimous image and good administrative image had significant positive impact on city loyalty. Pleasant images and dynamic images did not significantly affect city loyalty. In addition, city brand recognition positively influenced city loyalty. Conclusions - First, it is possible to say that there is an academic significance of this research in its contribution to regional revitalization by investigating mutual influences in urban aspect by combining place marketing with image, recognition, and loyalty. Secondly, kinetic images such as pleasant image and dynamic image have more influence on recognition, and static images such as magnanimous images have more influence on loyalty. So, further research will be necessary to establish theories. Finally, In order to increase city brand recognition and city loyalty to local city, efforts should be made to improve urban images such as pleasant image, magnanimous image, dynamic image, and good administrative image.

With the introduction of the one-tolling and smart-tolling, Vehicle number recognition technology of ITS imaging equipment that was used to prevent the escape and tolling evasion will play an important role in the collection system. Korea Highway Corporation will prepare a ITSK-00088 Performance Assessment to improve the license plate recognition. and there are a number of efforts to improve the accuracy of vehicle number recognition. But even if the ITS equipment had passed the performance assessment, it is in a situation which does not achieve the target value due to physical and environmental factors. we propose a method for acquiring the additional information(color, type, pattern) including plate number of the vehicle in order to improve the recognition rate of the vehicle number. Through that link the vehicle additional information, vehicle specifications DB, image analysis system, the goal is to build a system that can be identified for the misrecognized and unrecognized vehicle.

We designed and implemented automatic pavement damage detector using an image processing algorithm on driving condition. The experimental results show that the detector is able to successfully monitor and detect pavement damages

With the introduction of the one-tolling and smart-tolling, Vehicle number recognition technology of ITS imaging equipment that was used to prevent the escape and tolling evasion will play an important role in the collection system. Korea Highway Corporation will prepare a ITSK-00088 Performance Assessment to improve the license plate recognition. and there are a number of efforts to improve the accuracy of vehicle number recognition. But even if the ITS equipment had passed the performance assessment, it is in a situation which does not achieve the target value due to physical and environmental factors. we propose a method for acquiring the additional information(color, type, pattern) including plate number of the vehicle in order to improve the recognition rate of the vehicle number. Through that link the vehicle additional information, vehicle specifications DB, image analysis system, the goal is to build a system that can be identified for the misrecognized and unrecognized vehicle.

We designed and implemented automatic pavement damage detector using an image processing algorithm on driving condition. The experimental results show that the detector is able to successfully monitor and detect pavement damages.

The purpose of this study was to investigate how young children recognize the image of robots, and how they understand the relationship between themselves and robots based on school experience. 20 children from kindergarten A had no direct experience with educational robots, whereas 20 children from kindergarten B had experience in using educational robots in their classroom. Total 40 children from age group 5 class participated in this study. We collected data using interview and drawing test. The findings of the study are as follows: First, participating children recognized robots as having both the character of a machine and a human. But children with previous robot experience provided description of robots as a machine-tool. Both groups were not able to explain the structure of robots in details. Second, participating children understood that they can develop a range of social relationships with robots, including simple help to family replacement. There were mixed views on robots among the children with previous experience, but children with no experience described robots as taking the role of peers or family members. These findings could contribute to the development of robots and related programs in the field of early childhood education.

This paper proposes an underwater localization algorithm using probabilistic object recognition. It is organized as follows; 1) recognizing artificial objects using imaging sonar, and 2) localizing the recognized objects and the vehicle using EKF(Extended Kalman Filter) based SLAM. For this purpose, we develop artificial landmarks to be recognized even under the unstable sonar images induced by noise. Moreover, a probabilistic recognition framework is proposed. In this way, the distance and bearing of the recognized artificial landmarks are acquired to perform the localization of the underwater vehicle. Using the recognized objects, EKF-based SLAM is carried out and results in a path of the underwater vehicle and the location of landmarks. The proposed localization algorithm is verified by experiments in a basin.

This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.