Sökning: "morphological image processing"
Visar resultat 6 - 10 av 21 avhandlingar innehållade orden morphological image processing.
6. Distance Functions and Their Use in Adaptive Mathematical Morphology
Sammanfattning : One of the main problems in image analysis is a comparison of different shapes in images. It is often desirable to determine the extent to which one shape differs from another. This is usually a difficult task because shapes vary in size, length, contrast, texture, orientation, etc. Shapes can be described using sets of points, crisp of fuzzy. LÄS MER
7. Adaptive tensor-based morphological filtering and analysis of 3D profile data
Sammanfattning : Image analysis methods for processing 3D profile data have been investigated and developed. These methods include; Image reconstruction by prioritized incremental normalized convolution, morphology-based crack detection for steel slabs, and adaptive morphology based on the local structure tensor. LÄS MER
8. Evolutionary optimisation of a morphological image processor for embedded systems
Sammanfattning : The work presented in this thesis concerns the design, development and implementation of two digital components to be used, primarily, in autonomously operating embedded systems, such as mobile robots. The first component is an image coprocessor, for high-speed morphological image processing, and the second is a hardware-based genetic algorithm coprocessor, which provides evolutionary computation functionality for embedded applications. LÄS MER
9. Image Processing Architectures for Binary Morphology and Labeling
Sammanfattning : Conventional surveillance systems are omnipresent and most are still based on analog techniques. Migrating to the digital domain grants access to the world of digital image processing enabling automation of such systems, which means extracting information from the image stream without human interaction. LÄS MER
10. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations
Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER