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Automatic Detection of GGO in CT Lung Images by Using Statistical Features and Neural Networks
Hyoungseop Kim,Yoshifumi Katsumata,Joo Kooi Tan,Seiji Ishikawa 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In this paper, we described an algorithm of automatic detection of GGO candidate region to develop a CAD system from lung CT images by use of statistical features which is obtained density and shape features. In this algorithm, first, image pre-processing techniques such as segmentation of lung areas, binarization technique are introduced. In the second step, statistical features based on density features which are obtained mean, standard deviation, skewness, and kurtosis. Also two shape features which are obtained spiral scanning filter, and Gabor filter are introduced. In our clustering step, GGO area can be detect by using artificial neural networks. The proposed technique applied to 31 lung CT image sets. From this database, classification rates of a true positive rate of 84.2%, false positive rate of 57% and number of false positive 1.07/slice under the receiver operating characteristic analysis were achieved. The aim of this study is segmentation of lungs region and detection of abnormal area for the GGO by using thoracic MDCT image sets. This study also tried to decrease the amount of false positive rates and increase the amount of true positive rates so that the accuracy of performance.
엄형섭(Eom, Hyoungseop) 동양한문학회(구 부산한문학회) 2017 동양한문학연구 Vol.48 No.-
이 글은 조선 후기 울산 출신 문신 竹塢 李覲吾(1760-1834)의 시에 나타나는 安分이 시기에 따라 서로 다른 의미를 담고 있으며, 그것은 이근오가 지역과 문벌이란 두 가지 점에서 좌절하고 도전해 나가는 과정에서 산생된 것임을 논하고자 한 것이다. 이근오는 울산 지역 토착 가문인 학성 이씨의 후손으로 태어나 울산 최초로 대과에 급제해 중앙에서 實職을 역임했고 문집을 남겼다. 재지사족의 출현이 늦었던 울산 지역 사족의 동향과 한문학의 성취 정도를 살피기에 적절한 인물이나 지금까지 논의된 바가 없었다. 본고는 우선 이근오의 삶과 저술에 대해 간략하게 정리했다. 현재 그의 문집에 남아 있는 시문의 수는 그다지 많지 않고, 시는 40대 이후의 작품만 수록되어 있다. 그의 시는 대체로 충담하고 화평하다는 평을 받은 바 있는 데, 이는 본고에서 그의 시에서 주목한 안분과 일맥상통한다. 그러나 이근오의 시에 나타난 안분은 우리가 익히 알고 있는 안분의 의미로 설명되지 않는 지점이 존재한다. 그리고 그런 경향은 낙향 전후 시기의 작품에서 두드러지게 나타난다. 본고는 바로 그 시기의 주요 작품을 대상으로 삼아 심도 있게 분석함으로써 안분에 담겨 있는 시인의 마음을 좌절과 도전 두 가 지로 읽어내었다. 본고는 시의 문면을 읽는 데 머물지 않고 그 속에 담긴 시인의 마음을 들여다보기 위해 ‘관건어’를 분석의 틀로 삼았고, 문집에 실린 편지글과 실록 등의 관찬 사료를 보충자료로 삼아 논지를 입증했다. 이런 방법은 이근오와 같은 시기를 살았던 당대 중앙과 벌열에 속하지 않은 많은 지역 문인들의 시를 읽어내는 데 일조가 될 수 있을 것이다. This papaer represents that An-Bun(安分) which appear in Jug-O Lee, Keun O s Chinese poems have different meanings accroding to time and attempts to discuss that the difference is produced in the process of frustration and challenge to two things ; region and clan. Lee, Keun-O who was born into descent of Hak-Sung Lee passed Dae-Gwa(大科) for the first time in Ulsan, served as sil-jik(實職) position in central and left a colletion of works. He is a proper person to look around the trend of noble family of Ulsan where the provincial noble family s appearance was late, but haven t been discussed so far. This paper simply arrganged the life and writing of Lee, Keun O. Not many poems is remaining in his colletion of works nowadays, the poems after his forties are only included. His poems generally received a evaluation that his poem is crystal clear(沖澹) and peaceful(和平), which have something in common with An-Bun that this paper payed attention in his poems. But the An-Bun in his poem have a point that can not be explained by the common meaning of An-Bun. And the tendency appears remarkably in the work of before and after of rustication. This paper read the poet s mind as frustration and challenge by analyzing the major works of that time in depth. In additon to reading the contents of the letter, this paper makes the key words as the framework of analysis and historical records compiled by government, such as letters in collection of works and annals, as supplementary records. This method can contribute to reading many regional writers poems that are not belongs to the center and the distinguised family of the same time with Lee, Geun O.
Detecting Pedestrians from a Video by Stereo Cameras
Kazuki Inumaru,Joo Kooi Tan,Hyoungseop Hyoungseop,Seiji Ishikawa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
The technologies for safe driving assistance are of particular importance to escape pedestrians from traffic accidents. We have been doing research on detecting pedestrians by use of stereo cameras on an automobile and giving them priorities according to their degree of danger by analyzing their motions/behaviors. In this particular paper, we present a technique for detecting pedestrians employing stereo camera images. From a disparity map, each pixel on the image is voted on a depth image employing a 2-D Gaussian distribution and the region having a peak value of the vote is chosen as an object region. This region is represented by HOG features and judged if it is a human by SVM. Experimental results show satisfactory performance of the technique.
Optimal registration method based on ICP algorithm from head CT and MR image sets
Kouhei Harada,Hyoungseop Kim,Joo Kooi Tan,Seiji Ishikawa,Akiyoshi Yamamoto 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Image registration is an important problem and a fundamental task for understanding the internal organ or internal structure of human body, analyzing the temporal change from the image sets which is obtained different time series in computer vision and image processing field. Especially, CT and MR imaging of the head for diagnosis and surgical planning indicate that physicians and surgeons gain important information from these modalities. In radiotherapy planning, manual registration techniques are performed on MR and CT images of the brain. In general, physicians segment the volumes of interest (VOIs) from each set of slices on the MR and CT images manually. However, manual registration of the object area may require several hours for analysis based on anatomical knowledge. In this paper, to register two images which are obtained from different modalities we develop a new method for automatic registration of the head CT and MR images by using ICP (iterative closest point) algorithm in several extracted data and maximization of mutual information. One of the benefits of using the ICP algorithm is that computational costs can be reduced on the registration. The primary objective of this study is to increase the registration accuracy and reduce the computational processing time. The technique was applied to five real image sets which are obtained from the two different modalities and the satisfactory results are obtained. Some experimental results are shown with discussion.