Essays about: "histogram equalization"

Showing result 1 - 5 of 15 essays containing the words histogram equalization.

  1. 1. 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

  3. 2. Marine Habitat Mapping Using Image Enhancement Techniques & Machine Learning

    University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

    Author : Mudasar Mureed; [2022]
    Keywords : Coral Reef; Habitat Mapping; Convolutional Neural Network; Transfer Learning; Fine Tuning; CLAHE;

    Abstract : AbstractThe mapping of habitats is the first step that is done in policies that target theenvironment, as well as in spatial planning and management. The biodiversityplans are always centered around habitats. Therefore, constant monitoring ofthese delicate species in terms of health, changes, and extinction is a must inbiodiversity plans. READ MORE

  4. 3. Image enhancement effect on the performance of convolutional neural networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Xiaoran Chen; [2019]
    Keywords : Image Enhancement; Convolutional Neural Networks; Deep Learning; Transfer Learning;

    Abstract : Context. Image enhancement algorithms can be used to enhance the visual effects of images in the field of human vision. So can image enhancement algorithms be used in the field of computer vision? The convolutional neural network, as the most powerful image classifier at present, has excellent performance in the field of image recognition. READ MORE

  5. 4. Image Enhancement & Automatic Detection of Exudates in Diabetic Retinopathy

    University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Author : Vivek Mallampati; [2019]
    Keywords : Exudates; Diabetic Retinopathy; Mahalanobis Distance; Histogram Equalization; Contrast Limited Adaptive Histogram Equalization.;

    Abstract : Diabetic retinopathy (DR) is becoming a global health concern, which causes the loss of vision of most patients with the disease. Due to the vast prevalence of the disease, the automated detection of the DR is needed for quick diagnoses where the progress of the disease is monitored by detection of exudates changes and their classifications in the fundus retina images. READ MORE

  6. 5. An evaluation of image preprocessing for classification of Malaria parasitization using convolutional neural networks

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

    Author : Erik Engelhardt; Simon Jäger; [2019]
    Keywords : Deep Learning; Convolutional Neural Network; Malaria; Image Recognition; Preprocessing; Computer Aided Diagnosis; Grayscale; Normalization; Histogram Equalization; CLAHE.; Deep Learning; Convolutional Neural Network; Malaria; Image Recognition; Preprocessing; Computer Aided Diagnosis; Grayscale; Normalization; Histogram Equalization; CLAHE.;

    Abstract : In this study, the impact of multiple image preprocessing methods on Convolutional Neural Networks (CNN) was studied. Metrics such as accuracy, precision, recall and F1-score (Hossin et al. 2011) were evaluated. Specifically, this study is geared towards malaria classification using the data set made available by the U. READ MORE