Essays about: "Pixel Art"

Showing result 1 - 5 of 34 essays containing the words Pixel Art.

  1. 1. 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

  3. 2. 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

  4. 3. 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

  5. 4. Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization : A learning framework under scarce dense labels

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

    Author : Daniel Morales Brotons; [2023]
    Keywords : Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantic Segmentation; Consistency Regularization; Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantisk Segmentering; Konsistensregularisering;

    Abstract : Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few labels and a large unlabeled dataset. READ MORE

  6. 5. Human pose estimation in low-resolution images

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

    Author : Hugo Nilsson; [2022]
    Keywords : Human Pose Estimation; Low-Resolution Images; Heatmap Decoding; Computer Vision; Deep Learning; Mänsklig Poseuppskattning; Lågupplösta Bilder; Färgdiagram Avkodning; Datorseende; Djupinlärning;

    Abstract : This project explores the understudied, yet important, case of human pose estimation in low-resolution images. This is done in the use-case of images with football players of known scale in the image. Human pose estimation can mainly be done in two different ways, the bottom-up method and the top-down method. READ MORE