Essays about: "Object Based Image Analysis"

Showing result 1 - 5 of 67 essays containing the words Object Based Image Analysis.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

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

    Author : Christopher Nyberg; [2024]
    Keywords : ;

    Abstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE

  3. 2. 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

  4. 3. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

    University essay from SLU/Dept. of Forest Ecology and Management

    Author : Nils Helge Havertz; [2023]
    Keywords : Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

    Abstract : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. READ MORE

  5. 4. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gnana Spandana Akumalla; [2023]
    Keywords : Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Abstract : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. 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