Essays about: "pixel based image"

Showing result 1 - 5 of 99 essays containing the words pixel based image.

  1. 1. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Sebastian Eriksson; Fredrik Forsberg; [2023]
    Keywords : image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

    Abstract : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. READ MORE

  3. 2. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

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

    Author : Alex Gunnarsson; Filip Karlsson; [2023]
    Keywords : ;

    Abstract : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. READ MORE

  4. 3. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Fredrik Salomon-Sörensen; [2023]
    Keywords : Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Abstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE

  5. 4. Structure from Motion with a Neural Network

    University essay from Lunds universitet/Matematik LTH

    Author : Jiarong Gong; [2023]
    Keywords : Technology and Engineering;

    Abstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE

  6. 5. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

    Author : Jin Wanqi; [2023]
    Keywords : Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

    Abstract : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. READ MORE