Sökning: "Image segmentation"

Visar resultat 41 - 45 av 431 uppsatser innehållade orden Image segmentation.

1. 41. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics

   Master-uppsats, Luleå tekniska universitet/Rymdteknik

   Författare :Cristian David Echeverry Valencia; [2023]
   Nyckelord :Continual Learning; Progressive Neural Networks; mobile robotics; Computer Vision; Machine Learning; Semantic Segmentation;

   Sammanfattning : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. LÄS MER

3. 42. Deep Learning-Based Automated Landmark Localization for Evan’s Index Computation

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Richards Britto Christu Dhas; [2023]
   Nyckelord :;

   Sammanfattning : Hydrocephalus is a neurological disorder characterized by the accumulation of cerebrospinal fluid in the brain, leading to an enlargement of the ventricular system. Among its subtypes is idiopathic normal pressure hydrocephalus (iNPH), characterized by normal cerebrospinal fluid pressure. LÄS MER

4. 43. Performance Evaluation of Lumen Segmentation in Ultrasound Images

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Alexander Kadeby; [2023]
   Nyckelord :Image Segmentation; Atherosclerosis; VIPVIZA; Lumen Segmentation; Threshold Algorithms;

   Sammanfattning : Automatic segmentation of the lumen of carotid arteries in ultrasound images is a starting step in providing preventive care for patients with atherosclerosis. To perform the segmentation this paper introduces a model utilizing a threshold algorithm. LÄS MER

5. 44. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Björn Elwin; Anton Fredriksson; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER

7. 45. Segmentering av medicinska bilder med inspiration från en quantum walk algoritm

   Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Bestun Altuni; Jasin Aman Ali; [2023]
   Nyckelord :Discrete time quantum walk; medical image segmentation; random walk; quantum walk; Tidsdiskret kvantvandring; medicinsk bildsegmentering; slumpmässig vandring; kvantvandring;

   Sammanfattning : För närvarande utforskas quantum walk som en potentiell metod för att analysera medicinska bilder. Med inspiration från Gradys random walk-algoritm för bildbehandling har vi utvecklat en metod som bygger på de kvantmekaniska fördelar som quantum walk innehar för att detektera och segmentera medicinska bilder. LÄS MER