Essays about: "Image processing object detection"

Showing result 1 - 5 of 77 essays containing the words Image processing object detection.

  1. 1. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Marko Plavetic; [2023-06-26]
    Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

    Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

  3. 2. Initial Orbit Determination of Resident Space Objects From A Passive Optical Imaging System: : Application to Space Situational Awareness

    University essay from Luleå tekniska universitet/Rymdteknik

    Author : Jessica McKenna; [2023]
    Keywords : Space Situational Awareness; Space Science; Angles-Only Initial Orbit Determination;

    Abstract : The probability of satellite collisions and disintegrations cluttering the near-Earth orbital environmentis ever-growing. This is especially true for the congested Low Earth Orbit (LEO) regime; once a critical density of objects is reached, a collisional cascading is projected to generate runaway growth of theorbital population. READ MORE

  4. 3. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Author : Laura Murphy; [2023]
    Keywords : Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE

  5. 4. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Keywords : Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Abstract : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. READ MORE

  6. 5. Quantification of DNA Microballs Using Image Processing Techniques

    University essay from KTH/Industriell bioteknologi

    Author : Yosef Werede Tedros; [2023]
    Keywords : Spot detection; Deep learning; Image processing; smFISH; Gene editing; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot; Detektering av punkter; Djupinlärning; Bildbehandling; smFISH; Genredigering; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot;

    Abstract : I detta examensarbete användes olika bildbehandlingstekniker för detektion och kvantifiering av DNA-mikrobollar, mer specifikt rolling circle amplification-produkter, på mikroskopibilder. Avsikten med detta arbete var att hjälpa Countagen AB utforska pipelines för bildbehandling för sin produkt där de analyserar utfallet av genredigeringsförsök på ett billigare och snabbare sätt än dagens konventionella sekvenseringsmetoder. READ MORE