Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images
, 2020 Efficient and easy segmentation of images and volumes is of great practical importance. Segmentation problems that motivate our approach originate from microscopy imaging commonly used in materials science, medicine, and biology.
Dahl, Anders Bjorholm +3 more
core +1 more source
Brain tumor segmentation based on a hybrid clustering technique
Egyptian Informatics Journal, 2015 Image segmentation refers to the process of partitioning an image into mutually exclusive regions. It can be considered as the most essential and crucial process for facilitating the delineation, characterization, and visualization of regions of interest
Eman Abdel-Maksoud +2 more
doaj +1 more source
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation [PDF]
, 2019 Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task. In contrast, simple image tags are easier to gather.
Baptista-Ríos, Marcos +2 more
core +2 more sources
An Image Segmentation Method for Global Vision Robot Fish Competition
MATEC Web of Conferences, 2018 Image segmentation is a key link of vision system of the global vision bionic robot fish, and a precondition of target localization and tracking. In this paper, we propose a visual threshold method for color image segmentation.
Jia Yifan, Li Juanjuan, Hu Liang
doaj +1 more source
Research of segmentation method on color image of Lingwu long jujubes based on the maximum entropy
EURASIP Journal on Image and Video Processing, 2017 This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recognition.
Yutan Wang +5 more
doaj +1 more source
Medical Image Segmentation Based on Transformer and HarDNet Structures
IEEE Access, 2023 Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement due to the problems of many noisy medical images and the high similarity ...
Tongping Shen, Huanqing Xu
doaj +1 more source
Statistical Region Based Segmentation of Ultrasound Images [PDF]
, 2008 Segmentation of ultrasound images is a challenging problem due to speckle, which corrupts the image and can result in weak or missing image boundaries, poor signal to noise ratio, and diminished contrast resolution.
Ayed +30 more
core +3 more sources
DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling
NeuroImageThis study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li +3 more
doaj +1 more source
WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation
IEEE Access, 2019 Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou +4 more
doaj +1 more source
A Latent Source Model for Patch-Based Image Segmentation
, 2015 Despite the popularity and empirical success of patch-based nearest-neighbor and weighted majority voting approaches to medical image segmentation, there has been no theoretical development on when, why, and how well these nonparametric methods work.
Chen, George +2 more
core +1 more source