• Title/Summary/Keyword: 3D image processing

Search Result 1,092, Processing Time 0.041 seconds

A Parallel Algorithm for 3D Geographic Information System (3차원 공간정보 시스템을 위한 병렬 알고리즘)

  • Jo, Jeong-U;Kim, Jin-Seok
    • The KIPS Transactions:PartA
    • /
    • v.9A no.2
    • /
    • pp.217-224
    • /
    • 2002
  • Many systems handle 3D-image were used. High-performance computer systems and techniques of compressing images to handle 3D-image were used. But there will be cost Problems, if GIS system is implemented, using the high-performance system. And if GIS system is implemented, using the techniques of compressing images, there will be some loss of a image. It will take a long processing time to handle 3D-images using a general PC because the size of 3D-image files are very huge. The parallel algorithm presented in the paper can improve speed to handle 3D-image using parallel computer system. The system uses the method of displacing images from nodes to screens, dividing a 3D-image into multiple sub images on multiple nodes. The performance of the presented algorithm showers improving speed by experiments.

3D Segmentation of a Diagnostic Object in Ultrasound Images Using LoG Operator (초음파 영상에서 LoG 연산자를 이용한 진단 객체의 3차원 분할)

  • 정말남;곽종인;김상현;김남철
    • Journal of Biomedical Engineering Research
    • /
    • v.24 no.4
    • /
    • pp.247-257
    • /
    • 2003
  • This paper proposes a three-dimensional (3D) segmentation algorithm for extracting a diagnostic object from ultrasound images by using a LoG operator In the proposed algorithm, 2D cutting planes are first obtained by the equiangular revolution of a cross sectional Plane on a reference axis for a 3D volume data. In each 2D ultrasound image. a region of interest (ROI) box that is included tightly in a diagnostic object of interest is set. Inside the ROI box, a LoG operator, where the value of $\sigma$ is adaptively selected by the distance between reference points and the variance of the 2D image, extracts edges in the 2D image. In Post processing. regions of the edge image are found out by region filling, small regions in the region filled image are removed. and the contour image of the object is obtained by morphological opening finally. a 3D volume of the diagnostic object is rendered from the set of contour images obtained by post-processing. Experimental results for a tumor and gall bladder volume data show that the proposed method yields on average two times reduction in error rate over Krivanek's method when the results obtained manually are used as a reference data.

3D CT Image Processing for 3D Printed Auricular Reconstruction of Unilateral Microtia Patient

  • Roh, Tae Suk;Yun, In Sik
    • Journal of International Society for Simulation Surgery
    • /
    • v.1 no.2
    • /
    • pp.80-82
    • /
    • 2014
  • Purpose Microtia is congenital anomaly of external ear and the reconstruction method for the external ear of microtia patient was based on autogenous costal cartilage framework. The application of 3D printing technique in medical science has made more possibility of human tissue restoration, and we tried to apply this technique in auricular reconstruction field. Materials and Methods As for unilateral microtia patient, the contralateral side ear is normal and reconstructive surgeon tried to mimic it for reconstruction of affected ear. So, we obtained facial CT scan of microtia patient and made mirror image of normal side ear. Moreover, to make the 3D scaffold based on the mirror image of normal ear and to apply this scaffold for the auricular reconstruction surgery, we included auriculocephalic sulcus and anterior fixation part. Results We could successfully obtain mirror image of normal ear, auriculocephalic sulcus and anterior fixation part for 3D scaffold printing. Conclusions Using this CT image processing and 3D printing technique, we will be able to make the scaffold for auricular reconstruction of unilateral microtia patient, and perform auricular reconstruction in near future.

3D Image Analysis of Liver and Blood Vessels using MDCT (MDCT를 이용한 간과 혈관의 3D 영상분석)

  • Yang, Fei;Park, Jong Won
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2009.04a
    • /
    • pp.155-156
    • /
    • 2009
  • In this paper we present 3D image analysis of liver and blood vessels using MDCT. The purpose is to enhance the performance of clinician in assessing anatomical information of liver and blood vessels. The system consists of two parts: 3D image reconstruction and analysis of the 3D liver and blood vessel image. The central vein of the liver is the most important blood vessel for the liver transplantation. We will find the central vein's location and characteristic, and will scheme out a computer assistant liver transplantation planning. It will be an effective tool for interventional radiology, surgical planning, and quantitative diagnosis.

Study on the 3D Modeling Data Conversion Algorithm from 2D Images (2D 이미지에서 3D 모델링 데이터 변환 알고리즘에 관한 연구)

  • Choi, Tea Jun;Lee, Hee Man;Kim, Eung Soo
    • Journal of Korea Multimedia Society
    • /
    • v.19 no.2
    • /
    • pp.479-486
    • /
    • 2016
  • In this paper, the algorithm which can convert a 2D image into a 3D Model will be discussed. The 2D picture drawn by a user is scanned for image processing. The Canny algorithm is employed to find the contour. The waterfront algorithm is proposed to find foreground image area. The foreground area is segmented to decompose the complex shapes into simple shapes. Then, simple segmented foreground image is converted into 3D model to become a complex 3D model. The 3D conversion formular used in this paper is also discussed. The generated 3D model data will be useful for 3D animation and other 3D contents creation.

Depth estimation and View Synthesis using Haze Information (실안개를 이용한 단일 영상으로부터의 깊이정보 획득 및 뷰 생성 알고리듬)

  • Soh, Yong-Seok;Hyun, Dae-Young;Lee, Sang-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 2010.07a
    • /
    • pp.241-243
    • /
    • 2010
  • Previous approaches to the 2D to 3D conversion problem require heavy computation or considerable amount of user input. In this paper, we propose a rather simple method in estimating the depth map from a single image using a monocular depth cue: haze. Using the haze imaging model, we obtain the distance information and estimate a reliable depth map from a single scenery image. Using the depth map, we also suggest an algorithm that converts the single image to 3D stereoscopic images. We determine a disparity value for each pixel from the original 'left' image and generate a corresponding 'right' image. Results show that the algorithm gives well refined depth maps despite the simplicity of the approach.

  • PDF

Three-dimensional image processing using integral imaging method (집적 영상법을 이용한 3차원 영상 정보 처리)

  • Min, Seong-Uk
    • Proceedings of the Optical Society of Korea Conference
    • /
    • 2005.07a
    • /
    • pp.150-151
    • /
    • 2005
  • Integral imaging is one of the three-dimensional(3D) display methods, which is an autostereoscopic method. The integral imaging system can provide volumetric 3D image which has both vertical and horizontal parallaxes. The elemental image which is obtained in the pickup process by lens array has the 3D information of the object and can be used for the depth perception and the 3D correlation. Moreover, the elemental image which represents a cyber-space can be generated by computer process.

  • PDF

Implementation of Real-time Stereoscopic Image Conversion Algorithm Using Luminance and Vertical Position (휘도와 수직 위치 정보를 이용한 입체 변환 알고리즘 구현)

  • Yun, Jong-Ho;Choi, Myul-Rul
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.9 no.5
    • /
    • pp.1225-1233
    • /
    • 2008
  • In this paper, the 2D/3D converting algorithm is proposed. The single frame of 2D image is used fur the real-time processing of the proposed algorithm. The proposed algorithm creates a 3D image with the depth map by using the vertical position information of a object in a single frame. In order to real-time processing and improve the hardware complexity, it performs the generation of a depth map using the image sampling, the object segmentation with the luminance standardization and the boundary scan. It might be suitable to a still image and a moving image, and it can provide a good 3D effect on a image such as a long distance image, a landscape, or a panorama photo because it uses a vertical position information. The proposed algorithm can adapt a 3D effect to a image without the restrictions of the direction, velocity or scene change of an object. It has been evaluated with the visual test and the comparing to the MTD(Modified Time Difference) method using the APD(Absolute Parallax Difference).

Development of Structured Light 3D Scanner Based on Image Processing

  • Kim, Kyu-Ha;Lee, Sang-Hyun
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.11 no.4
    • /
    • pp.49-58
    • /
    • 2019
  • 3D scanners are needed in various fields, and their usage range is greatly expanded. In particular, it is being used to reduce costs at various stages during product development and production. Now, the importance of quality inspection in the manufacturing industry is increasing. Structured optical system applied in this study is suitable for measuring high precision of mold, press work, precision products, etc. and economical and effective 3D scanning system for measuring inspection in manufacturing industry can be implemented. We developed Structured light 3D scanner which can measure high precision by using Digital Light Processing (DLP) projector and camera. In this paper, 3D image scanner based on structured optical system can realize 3D scanning system economically and effectively when measuring inspection in the manufacturing industry.