Essays about: "Automatisk bildbehandling"

Showing result 1 - 5 of 8 essays containing the words Automatisk bildbehandling.

  1. 1. Computer Vision for Document Image Analysis and Text Extraction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Omar Benchekroun; [2022]
    Keywords : Optical Character Recognition; Document Analysis; Text Extraction; Transformers; Convolutional Neural Networks; Optisk teckenigenkänning; dokumentanalys; textutvinning; transformatorer; konvolutionella neurala nätverk;

    Abstract : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). READ MORE

  3. 2. Automatic segmentation of microstructures in metals : A computer vision approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oscar Larsen; [2022]
    Keywords : Image Processing; Computer Vision; Machine Learning; Deep Learning; Metallurgy; Segmentation; Bildbehandling; Datorseende; Maskininlärning; Djupinlärning; Metallurgi; Segmentering;

    Abstract : The microstructures of a metal determine the physical, electrical and chemical properties of the metal, and analysis of microstructures is therefore an important part of materials science. Modern microscopes are capable of generating a lot of high-quality micrographs in a short period of time. READ MORE

  4. 3. Automating the monotonous workflow : Mobile application development and deployment

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Ahmadreza Vakilalroayayi; [2021]
    Keywords : Design science; Design science research process; Process model; Continuous integration; Continuous delivery; Software architecture; Automating workflow; Image processing; Perform Git commands automatically; Deploy mobile applications automatically; Designvetenskap; Designvetenskaplig forskningsprocess; Processmodell; Kontinuerlig integration; Kontinuerlig leverans; Programvaruarkitektur; Automatisera arbetsflöde; Automatisk bildbehandling; Utför Git -kommandon automatiskt; Distribuera mobilapplikationer automatiskt;

    Abstract : To create, update, or deploy a mobile application, a collection of hand-operated works must be satisfied. In this project, regardless of the mobile application's code and its core functionalities, which can be an e-book, an application, or even a mobile game, we will study how to automate, visualize and simplify the following manual procedures: 1. READ MORE

  5. 4. Evaluating automatic colour equalization to preprocess dermoscopic images for classification using a CNN

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Niklas Vatn; Julia Byström; [2021]
    Keywords : ;

    Abstract : Skin cancer is one of the most prevalent types of cancer and diagnosing of skin lesions are mostly done by visual inspection by a doctor. Lately, computer- aided diagnosis (CAD) has gained popularity and previous studies have with great results utilized a convolutional neural network (CNN) to classify dermoscopic images of different benign and malignant skin lesions. READ MORE

  6. 5. A Novel System for Deep Analysis of Large-Scale Hand Pose Datasets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Maria Touranakou; [2018]
    Keywords : Redundancy removal; similarity analysis; data mining; statistical analysis; image classification; image segmentation; deep learning; computer vision; ; Avlägsnande av redundans; likhetsanalys; data mining; statistisk analys; bildklassificering; bildsegmentering; djup lärning; datorsyn; ;

    Abstract : This degree project proposes the design and the implementation of a novel systemfor deep analysis on large-scale datasets of hand poses. The system consists of a set ofmodules for automatic redundancy removal, classification, statistical analysis andvisualization of large-scale datasets based on their content characteristics. READ MORE