• Title/Summary/Keyword: Image Transformation

Search Result 1,076, Processing Time 0.024 seconds

Object Detection Method on Vision Robot using Sensor Fusion (센서 융합을 이용한 이동 로봇의 물체 검출 방법)

  • Kim, Sang-Hoon
    • The KIPS Transactions:PartB
    • /
    • v.14B no.4
    • /
    • pp.249-254
    • /
    • 2007
  • A mobile robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. We focus on how to detect a object region well using image processing algorithm because it gives robots the ability of working for human. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Shape information and signature algorithm are used to segment the objects from background regardless of shape changes. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.

Nondestructive Diagnosis of NPP Piping System Using Ultrasonic Wave Imaging Technique Based on a Pulsed Laser Scanning System (펄스 레이저 스캐닝 기반 초음파 영상화 기술을 활용한 원전 배관 비파괴 진단)

  • Kim, Hyun-Uk;Lee, Chang-Gil;Park, Seung-Hee
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.18 no.1
    • /
    • pp.166-173
    • /
    • 2014
  • A noncontact nondestructive testing (NDT) method is proposed to detect the damage of pipeline structures and to identify the location of the damage. To achieve this goal, a scanning laser source actuation technique is utilized to generate a guided wave and scans a specific area to find damage location more precisely. The ND: YAG pulsed laser is used to generate Lamb wave and a piezoelectric sensor is installed to measure the structural responses. The measured responses are analyzed using three dimensional Fourier transformation (3DFT). The damage-sensitive features are extracted by wavenumber filtering based on the 3D FT. Then, flaw imaging techniques of a pipeline structures is conducted using the damage-sensitive features. Finally, the pipes with notches are investigated to verify the effectiveness and the robustness of the proposed NDT approach.

Accuracy Analysis of 3D Position of Close-range Photogrammetry Using Direct Linear Transformation and Self-calibration Bundle Adjustment with Additional Parameters (DLT와 부가변수에 의한 광속조정법을 활용한 근접사진측량의 3차원 위치정확도 분석)

  • Kim, Hyuk Gil;Hwang, Jin Sang;Yun, Hong Sic
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.23 no.2
    • /
    • pp.27-38
    • /
    • 2015
  • In this study, the 3D position coordinates were calculated for the targets using DLT and self-calibration bundle adjustment with additional parameters in close-range photogrammetry. And then, the accuracy of the results were analysed. For this purpose, the results of camera calibration and orientation parameters were calculated for each images by performing reference surveying using total station though the composition of experimental conditions attached numerous targets. To analyze the accuracy, 3D position coordinates were calculated for targets that has been identically selected and compared with the reference coordinates obtained from a total station. For the image coordinate measurement of the stereo images, we performed the ellipse fitting procedure for measuring the center point of the circular target. And then, the results were utilized for the image coordinate for targets. As a results from experiments, position coordinates calculated by the stereo images-based photogrammetry have resulted out the deviation of less than an average 4mm within the maximum error range of less than about 1cm. From this result, it is expected that the stereo images-based photogrammetry would be used to field of various close-range photogrammetry required for precise accuracy.

A Study of the Registration of Simulator Images and Portal Images Using Landmarks in Radiation Treatment (랜드마크 (Landmark)를 이용한 방사선 치료 X선 시뮬레이터 영상과 포탈영상의 비교법 연구)

  • 이정애;서태석;최보영;이형구
    • Progress in Medical Physics
    • /
    • v.12 no.2
    • /
    • pp.177-184
    • /
    • 2001
  • The goal of radiation treatment is to deliver a prescribed radiation dose to the target volume accurately while minimizing dose to normal tissues. Due to inaccurate placement of field and shielding block and patient's movement, there could be displacement errors between the planed and treatment regions. In order to verify the location of radiation treatment, we in this study developed the registration algorithm of the x-ray simulator images and portal images and quantified the inaccuracy in terms of shift, scale and rotation. The algorithm for registration of pairs of radiation fields consists of the alignment of pairs of radiation images by points matching and field displacement analysis by field boundary matching. In the first step, paired surface landmarks are matched to calculate the transformation parameters (scale, rotation and shift) using the corresponding line pairs which are created by connecting two landmarks of each image. In the next step, portal field boundary is extracted and then the two field boundaries are matched by the $\rho$-$\theta$ technique. Applying the phantom portal images, detection errors were calculated to be less than 2mm in translation, 1$^{\circ}$ in rotation and 1% in scale. In conclusion, we quantitatively analyzed the displacement error of x-ray simulator images and portal images. The present results could contribute to the study of the radiation treatment verification.

  • PDF

Feature-based Non-rigid Registration between Pre- and Post-Contrast Lung CT Images (조영 전후의 폐 CT 영상 정합을 위한 특징 기반의 비강체 정합 기법)

  • Lee, Hyun-Joon;Hong, Young-Taek;Shim, Hack-Joon;Kwon, Dong-Jin;Yun, Il-Dong;Lee, Sang-Uk;Kim, Nam-Kug;Seo, Joon-Beom
    • Journal of Biomedical Engineering Research
    • /
    • v.32 no.3
    • /
    • pp.237-244
    • /
    • 2011
  • In this paper, a feature-based registration technique is proposed for pre-contrast and post-contrast lung CT images. It utilizes three dimensional(3-D) features with their descriptors and estimates feature correspondences by nearest neighborhood matching in the feature space. We design a transformation model between the input image pairs using a free form deformation(FFD) which is based on B-splines. Registration is achieved by minimizing an energy function incorporating the smoothness of FFD and the correspondence information through a non-linear gradient conjugate method. To deal with outliers in feature matching, our energy model integrates a robust estimator which discards outliers effectively by iteratively reducing a radius of confidence in the minimization process. Performance evaluation was carried out in terms of accuracy and efficiency using seven pairs of lung CT images of clinical practice. For a quantitative assessment, a radiologist specialized in thorax manually placed landmarks on each CT image pair. In comparative evaluation to a conventional feature-based registration method, our algorithm showed improved performances in both accuracy and efficiency.

SOSiM: Shape-based Object Similarity Matching using Shape Feature Descriptors (SOSiM: 형태 특징 기술자를 사용한 형태 기반 객체 유사성 매칭)

  • Noh, Chung-Ho;Lee, Seok-Lyong;Chung, Chin-Wan;Kim, Sang-Hee;Kim, Deok-Hwan
    • Journal of KIISE:Databases
    • /
    • v.36 no.2
    • /
    • pp.73-83
    • /
    • 2009
  • In this paper we propose an object similarity matching method based on shape characteristics of an object in an image. The proposed method extracts edge points from edges of objects and generates a log polar histogram with respect to each edge point to represent the relative placement of extracted points. It performs the matching in such a way that it compares polar histograms of two edge points sequentially along with edges of objects, and uses a well-known k-NN(nearest neighbor) approach to retrieve similar objects from a database. To verify the proposed method, we've compared it to an existing Shape-Context method. Experimental results reveal that our method is more accurate in object matching than the existing method, showing that when k=5, the precision of our method is 0.75-0.90 while that of the existing one is 0.37, and when k=10, the precision of our method is 0.61-0.80 while that of the existing one is 0.31. In the experiment of rotational transformation, our method is also more robust compared to the existing one, showing that the precision of our method is 0.69 while that of the existing one is 0.30.

Extraction of Water Depth in Coastal Area Using EO-1 Hyperion Imagery (EO-1 Hyperion 영상을 이용한 연안해역의 수심 추출)

  • Seo, Dong-Ju;Kim, Jin-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.12 no.4
    • /
    • pp.716-723
    • /
    • 2008
  • With rapid development of science and technology and recent widening of mankind's range of activities, development of coastal waters and the environment have emerged as global issues. In relation to this, to allow more extensive analyses, the use of satellite images has been on the increase. This study aims at utilizing hyperspectral satellite images in determining the depth of coastal waters more efficiently. For this purpose, a partial image of the research subject was first extracted from an EO-1 Hyperion satellite image, and atmospheric and geometric corrections were made. Minimum noise fraction (MNF) transformation was then performed to compress the bands, and the band most suitable for analyzing the characteristics of the water body was selected. Within the chosen band, the diffuse attenuation coefficient Kd was determined. By deciding the end-member of pixels with pure spectral properties and conducting mapping based on the linear spectral unmixing method, the depth of water at the coastal area in question was ultimately determined. The research findings showed the calculated depth of water differed by an average of 1.2 m from that given on the digital sea map; the errors grew larger when the water to be measured was deeper. If accuracy in atmospheric correction, end-member determination, and Kd calculation is enhanced in the future, it will likely be possible to determine water depths more economically and efficiently.

Study of Riverline Change around Sannam Wetland in the Hangang River Estuaty using LANDSAT Image Processing (LANDSAT 위성사진을 활용한 한강하구 산남습지 인근 하안선 변화 연구)

  • Youn, Sukzun;Lee, Samhee;Jang, Changhwan
    • Journal of Wetlands Research
    • /
    • v.23 no.2
    • /
    • pp.154-162
    • /
    • 2021
  • The naturally opened Han river estuary is a place where the flows of the Han river, Imjin river, Yaesung river meet with West Sea of Korea, so the hydrodynamic mechanism(Impact-Response) structure of Han river estuary is complex. Continuous observation and measurement due to the morphological characteristics at the estuary are required to maintain the estuary environment and river management facilities. However, the Sannam wetland(the study area) is in the military operation area. Therefore, Sannam wetland has the limited access under the control from military office. In 2020, there had a natural disaster due to flooding in August and COVID-19, and it made a survey hard. The noncontact survey technique, the analysis of LANDSAT images at Sannam wetland, was applied to analyze riverbed fluctuation and morphological transformation around Sannam wetland. LANDSAT images obtained from EarthExplorer, USGS and analyzed by QGIS. The analysis was performed based on the area and the distance near Sannam wetland. As a result, an erosion was happened on the downstream of the study area, and the upstream of the study area did not have any serious sediment transport. Considering the resolution of LANDSAT images, this noncontect survey technique is applicable to manage the study area. From the analysis of LANDSAT images, it is assumed that the tidal effect is greater than the inflow from the upstream. The pattern change of tidal response causes the damage of the river facilities near the Hangang river estuary.

Identification of shear layer at river confluence using (RGB) aerial imagery (RGB 항공 영상을 이용한 하천 합류부 전단층 추출법)

  • Noh, Hyoseob;Park, Yong Sung
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.8
    • /
    • pp.553-566
    • /
    • 2021
  • River confluence is often characterized by shear layer and the associated strong mixing. In natural rivers, the main channel and its tributary can be separated by the shear layer using contrasting colors. The shear layer can be easily observed using aerial images from satellite or unmanned aerial vehicles. This study proposes a low-cost identification method extracting geographic features of the shear layer using RGB aerial image. The method consists of three stages. At first, in order to identify the shear layer, it performs image segmentation using a Gaussian mixture model and extracts the water bodies of the main channel and tributary. Next, the self-organizing map simplifies the flow line of the water bodies into the 1-dimensional curve grid. After that, the curvilinear coordinate transformation is performed using the water body pixels and the curve grid. As a result, the shear layer identification method was successfully applied to the confluence between Nakdong River and Nam River to extract geometric shear layer features (confluence angle, upstream- and downstream- channel widths, shear layer length, maximum shear layer thickness).

A Dilemma of Feminist Crime Narrative -focus on Yang Gui-Ja's Romance I Wish For What Is Forbidden (어느 페미니스트 범죄 서사의 딜레마 -양귀자의 『나는 소망한다 내게 금지된 것을』 소고)

  • Lee, Hye-Ryoung
    • Journal of Popular Narrative
    • /
    • v.25 no.4
    • /
    • pp.223-261
    • /
    • 2019
  • This article is a reexamination of the feminist criminal narrative I wish for what is forbidden by Yang Gui-ja in the context of the rise of the women's movement and consumer culture of the middle class in Gangnam in the 1980s and 1990s. At this time, the explosive media culture served to strengthen the ideology that placed the middle-class family at the center as well as the consumption culture. The combination of consumer media culture, women's movement and democratization created a soft and domestic male image while visualizing the material foundation of the middle class in the 1990s of South Korea. In this novel, the domestic male image transforms the feminist criminal narrative into the narrative of the femme fatale attacking the stability and dignity of the middle class family, and at the moment of the transformation, the feminist woman Kang Min-ju is killed by a lower class man who has admired and loved her. This novel is not only current but also signifying as a text that overlaps sociocultural reproduction and feminist issues of the middle class based on Gangnam in the 1990s. This is because it shows the sociocultural context of femicide, such as serial murder of targeting women, as a core code of criminal narrative to be held in Korea since the late 1990s.