On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images.
Liam BurrowsKe ChenFrancesco TorellaPublished in: MIUA (2020)
Keyphrases
- image segmentation algorithms
- segmentation method
- image segmentation
- segmentation algorithm
- computer vision algorithms
- image analysis
- feature extraction and matching
- ground truth data
- image processing algorithms
- fully automatic
- image database
- edge detection
- segmented images
- level set
- unsupervised segmentation
- test images
- ground truth
- object recognition
- image slices
- automatically segmented
- adaptive thresholding
- segmentation errors
- medical images
- image regions
- multiple objects
- neural network
- image segmentation methods
- low depth of field
- three dimensional
- learning algorithm
- quantitative measurements
- cardiac ultrasound images
- accurate segmentation
- microscopic images
- pigmented skin lesions
- segmentation accuracy
- image retrieval
- image features
- region growing
- pixel level
- pixel wise
- grey level
- intensity images
- piece wise
- tubular structures
- background subtraction
- active contours
- input image
- image data
- fundamental problems in computer vision
- image segmentation algorithm
- computer vision