2016, Vol.11, No.1

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

The extraction of robust feature points from images is one of the fundamental operations required in image processing. Among the kinds of salient point, as corner in image contains local features, it is used to achieve image recognition, image registration, and object tracking etc. Hence, extracting corners accurately is significant to image processing as well as constructing an efficient and effective image processing system. Harris corner detection algorithm, among many corner detection algorithms, is well known for extracting robust corners. It is used to improve feature description algorithms such as Scale-invariant feature transform(SIFT) and Speeded Up Robust Feature(SURF). It is also employed in the development of various image processing applications such as object segmentation, object tracking, image recognition, and image registration etc. Therefore, a lot of research has been conducted to improve the Harris corner detection algorithm. In this paper, we proposed a technique which can extract salient points efficiently by analysing wavelet subbands of wavelet-tansformed image. Experiments were performed using Lena image and they showed that the proposed technique produces more rapidly than Harris corner detection algorithm does.

The number of automobiles in 1945, the first year of our country’s automobile legislation system, was 7000 and as at the end of last month 2015, it exceeded 20 million. Recently, automobiles, which used to be luxuries in the past, have now become daily necessities. Despite such changes in status of automobiles, however, the information related to automobile maintenance is obtained mostly through consultation with specialized companies and Internet. The shortage of information related to automobile maintenance has become a serious hindrance to the efficiency of vehicle management and safety operation. This paper proposes a mobile system that provides vehicle management information in advance based on the mileage of personal automobiles. The system proposed in this research provides the users periodically with vehicle management information based on the two factors: vehicle mileage and time. To do this, first the evaluation of the time of vehicle management based on the mileage is conducted and then the evaluation information is divided into three stages and the vehicle management grade information is provided to the users periodically. Such vehicle management information is expected to be used very effectively to the areas such as preventing accidents in safety driving caused by inappropriate pre-inspection of vehicle safety management and vehicle supplies management.

Transparent tablets have been introduced a lot of SF movies and the concept videos for future technologies. There have been researches on user interface for transparent mobile devices, but only a few researches on the implementation of the devices have been introduced. In this paper, we introduce how we develop our transparent tablet, which consists of a transparent LCD and Raspberry PI 2. This tablet is a mobile device, so that it should be small and light enough to be carried in everyday life. Furthermore, it should support the applications which run on the traditional tablets, and applications which are designed for the specific features of transparent tablets. The applications of transparent tablets are classified into three groups according to their adaptability: level 0, level 1, and level 2. The applications in "level 0" and "level 1" can provide unique services for transparent tablets, but applications in "level 2" should have the supports from hardware and system software. Applications in "level 1", such as drawing application, can be used for transparent tablets with "overlay" interaction without any modification by changing its usage scenario. Therefore, the development of usage scenarios for "level 1" and "level 2" will be the key point for the practical usefulness of transparent mobile devices.