Sökning: "Gabor filters"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Gabor filters.

  1. 1. Compare Accuracy of Alternative Methods for Sound Classification on Environmental Sounds of Similar Characteristics

    Master-uppsats, Stockholms universitet/Statistiska institutionen

    Författare :Olov Rudberg; [2022]
    Nyckelord :Machine Learning; Algorithms; Neural Networks; Computer Vision; Image Recognition; Environmental Sound Classification; Data Augmentation;

    Sammanfattning : Artificial neural networks have in the last decade been a vital tool in image recognition, signal processing and speech recognition. Because of these networks' ability to be highly flexible, they suit a vast amount of different data. This flexible attribute is very sought for within the field of environmental sound classification. LÄS MER

  3. 2. Incorporating Orthogonal Moments in CNNs

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :André Le Blanc; [2021]
    Nyckelord :;

    Sammanfattning : Convolutional neural networks (CNNs) can accurately classify objects in images using convolutional layers that extract features from images. Features from images can also be extracted using image moments, such as Gabor and Zernike moments. LÄS MER

  4. 3. Tracking of railroads for autonomous guidance of UAVs : using Vanishing Point detection

    Master-uppsats, KTH/Mekatronik

    Författare :Anthony Clerc; [2018]
    Nyckelord :Railroad tracking; Autonomous guidance UAV; Railroad topology; Vanishing point detection; Gabor filters; Edge detection;

    Sammanfattning : UAVs have gained in popularity and the number of applications has soared over the past years, ranging from leisure to commercial activities. This thesis is discussing specifically railroad applications, which is a domain rarely explored. Two different aspects are analysed. LÄS MER

  5. 4. Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Agneev Guin; [2018]
    Nyckelord :Semantic segmentation; Deep learning; Gabor filters; Drivable surfaces;

    Sammanfattning : Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. LÄS MER

  7. 5. Segmentation of Clouds in Satellite Images

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Maja Gasslander; [2016]
    Nyckelord :Classification; Machine Learning; SVM; Gabor Filters; Features; Color Names;

    Sammanfattning : The usage of 3D modelling is increasing fast, both for civilian and military areas, such as navigation, targeting and urban planning. When creating a 3D model from satellite images, clouds canbe problematic. Thus, automatic detection ofclouds inthe imagesis ofgreat use. LÄS MER