Sökning: "SLIC Segmentation"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden SLIC Segmentation.

  1. 1. Computer Vision for Volume Estimation and Material Classification

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitet

    Författare :Oliver Lagelius; Ludwig Wässman; [2023]
    Nyckelord :Clustering; DexiNed; Image Processing; SLIC Segmentation; Stereo Vision;

    Sammanfattning : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. LÄS MER

  3. 2. Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Andreas Eriksson; [2022]
    Nyckelord :Geography; GIS; Habitat Suitability; Remote Sensing; Image Classification; Earth and Environmental Sciences;

    Sammanfattning : Remote sensing image classification is used in land cover, forest type and tree species classifications but rarely considered for habitat suitability modelling of animal and plant species. It is instead common that land cover products derived from remote sensing data are used in these modelling problems, even though satellite imagery can provide more detailed information. LÄS MER

  4. 3. FPGA acceleration of superpixel segmentation

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens högskola/Inbyggda system

    Författare :Magnus Östgren; [2020]
    Nyckelord :;

    Sammanfattning : Superpixel segmentation is a preprocessing step for computer vision applications, where an image is split into segments referred to as superpixels. Then running the main algorithm on these superpixels reduces the number of data points processed in comparison to running the algorithm on pixels directly, while still keeping much of the same information. LÄS MER

  5. 4. Classification of Textures Using Convolutional Neural Networks

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Ivar Persson; [2017]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This Master's thesis has concerned the segmentation and classification of background textures in images. In order to segment the images we have used the SLIC algorithm to create superpixels. These are a sort of over segmentation of the image where pixels close to each other and similar in colour are considered to be the same texture. LÄS MER

  7. 5. General Object Detection Using Superpixel Preprocessing

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Marcus Wälivaara; [2017]
    Nyckelord :superpixels; SLIC; coarse-to-fine; segmentation; general object detection; cityscapes; traffic; image processing; clustering;

    Sammanfattning : The objective of this master’s thesis work is to evaluate the potential benefit of a superpixel preprocessing step for general object detection in a traffic environment. The various effects of different superpixel parameters on object detection performance, as well as the benefit of including depth information when generating the superpixels are investigated. LÄS MER