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Showing result 1 - 5 of 13 essays matching the above criteria.

  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. Performance Evaluation of Lumen Segmentation in Ultrasound Images

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Alexander Kadeby; [2023]
    Keywords : Image Segmentation; Atherosclerosis; VIPVIZA; Lumen Segmentation; Threshold Algorithms;

    Abstract : 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. READ MORE

  5. 4. Improvement of Optical Character Recognition on Scanned Historical Documents Using Image Processing

    University essay from Högskolan i Gävle/Datavetenskap

    Author : Lara Aula; [2021]
    Keywords : Image pre-processing; Tesseract; Optical Character Recognition; Historical documents; Precision and Recall;

    Abstract : As an effort to improve accessibility to historical documents, digitization of historical archives has been an ongoing process at many institutions since the origination of Optical Character Recognition. The old, scanned documents can contain deteriorations acquired over time or caused by old printing methods. READ MORE

  6. 5. Optimisation of card recognition routine

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Emil Bagge; [2020]
    Keywords : ;

    Abstract : Card-dealing machines for the game Bridge are used to automate the time-consuming process of sorting cards. They require methods to recognize each card's suit and value during the process, as the sorting is predetermined. The machine considered in      this thesis uses a webcam that feeds a 30 FPS video stream to a contour analysis algorithm. READ MORE