Search for dissertations about: "region-growing"

Showing result 1 - 5 of 7 swedish dissertations containing the word region-growing.

  2. 1. Contributions to 3D Image Analysis using Discrete Methods and Fuzzy Techniques : With Focus on Images from Cryo-Electron Tomography

    Author : Magnus Gedda; Ewert Bengtsson; Stina Svensson; Carolina Wählby; Punam Saha; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; digital image analysis; 3D; fuzzy; algorithms; grey-weighted distance; region growing; electron tomography; tracing; fluorescence microscopy; Datoriserad bildanalys; Computerized Image Analysis;

    Abstract : With the emergence of new imaging techniques, researchers are always eager to push the boundaries by examining objects either smaller or further away than what was previously possible. The development of image analysis techniques has greatly helped to introduce objectivity and coherence in measurements and decision making. READ MORE

  4. 2. Planar segmentation for Geometric Reverse Engineering using data from a laser profile scanner mounted on an industrial robot

    Author : Mohamed Rahayem; Björn Arén; Johan Kjellander; Mathias Broxvall; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geometric Reverse Engineering; 3D measurement systems; laser scanner; planar segmentation; region-growing; Computer and systems science; Data- och systemvetenskap; Computer and Systems Science; Data- och systemvetenskap;

    Abstract : Laser scanners in combination with devices for accurate orientation like Coordinate Measuring Machines (CMM) are often used in Geometric Reverse Engineering (GRE) to measure point data. The industrial robot as a device for orientation has relatively low accuracy but the advantage of being numerically controlled, fast, flexible, rather cheap and compatible with industrial environments. READ MORE

  5. 3. Object Detection and Recognition in Unstructured Outdoor Environments

    Author : Ahmad Ostovar; Thomas Hellström; Ola Ringdahl; Mårten Björkman; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep Learning; Harvesting Robots; Automatic Detection and Recognition; Computer Science; datalogi;

    Abstract : Computer vision and machine learning based systems are often developed to replace humans in harsh, dangerous, or tedious situations, as well as to reduce the required time to accomplish a task. Another goal is to increase performance by introducing automation to tasks such as inspections in manufacturing applications, sorting timber during harvesting, surveillance, fruit grading, yield prediction, and harvesting operations. READ MORE

  6. 4. Image Analysis Methods and Tools for Digital Histopathology Applications Relevant to Breast Cancer Diagnosis

    Author : Andreas Kårsnäs; Robin Strand; Carolina Wählby; Ewert Bengtsson; Anant Madabhushi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; breast cancer diagnosis; digital histopathology; immunohistochemistry; biomarker quantification; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : In 2012, more than 1.6 million new cases of breast cancer were diagnosed and about half a million women died of breast cancer. The incidence has increased in the developing world. The mortality, however, has decreased. READ MORE

  7. 5. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

    Author : Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. READ MORE