Essays about: "segmentation image processing thesis"

Showing result 1 - 5 of 66 essays containing the words segmentation image processing thesis.

1. 1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alex Peschel; [2023]
   Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

3. 2. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Emil Brynielsson; [2023]
   Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

   Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

4. 3. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Henrik Träff; [2023]
   Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

   Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

5. 4. Computer Vision for Volume Estimation and Material Classification

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitet

   Author : Oliver Lagelius; Ludwig Wässman; [2023]
   Keywords : Clustering; DexiNed; Image Processing; SLIC Segmentation; Stereo Vision;

   Abstract : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. READ MORE

6. 5. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

   Author : Oliver Möller; [2023]
   Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

   Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE