Sökning: "superpixels"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet superpixels.

  1. 1. The Contribution of Visual Explanations in Forensic Investigations of Deepfake Video : An Evaluation

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Lisa Fjellström; [2021]
    Nyckelord :Deepfakes; Explainable AI; Local Interpretable Model-Agnostic Explanations LIME ; Forensic Investigations;

    Sammanfattning : Videos manipulated by machine learning have rapidly increased online in the past years. So called deepfakes can depict people who never participated in a video recording by transposing their faces onto others in it. This raises the concern of authenticity of media, which demand for higher performing detection methods in forensics. LÄS MER

  2. 2. 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

  3. 3. Mathematical Analysis of Intensity Based Segmentation Algorithms with Implementations on Finger Images in an Uncontrolled Environment

    Kandidat-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Författare :Lisa Svens; [2019]
    Nyckelord :Image segmentation; normalised cut; k-means; applied mathematics; matlab;

    Sammanfattning : The main task of this thesis is to perform image segmentation on images of fingers to partition the image into two parts, one with the fingers and one with all that is not fingers. First, we present the theory behind several well-used image segmentation methods, such as SNIC superpixels, the k-means algorithm, and the normalised cut algorithm. LÄS MER

  4. 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

  5. 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