An Automatic Multiscale Region Growing Segmentation in Medical Image Based on SLIC and 2D OTSU

2018 ◽  
Author(s):  
Fan Chen ◽  
Jianling Gao
Keyword(s):  
Medical Image ◽  
Region Growing ◽  
Region Growing Segmentation

Research and Improvement of Live-Wire Interactive Algorithm for Medical Image Segmentation

2012 ◽  
Vol 182-183 ◽  
pp. 1065-1068 ◽  
Author(s):  
Ji Ying Li ◽  
Jian Wu Dang
Keyword(s):  
Image Segmentation ◽  
Anisotropic Diffusion ◽  
Medical Image ◽  
Optimal Path ◽  
Region Growing ◽  
Medical Image Segmentation ◽  
Interactive Segmentation ◽  
Diffusion Filtering ◽  
Interactive Algorithm ◽  
Region Growing Segmentation

Traditional Live Wire algorithm distinguished the strength edge of objectives uneasily and executive speed of algorithm is slow. For these problems, an improved Live-Wire algorithm is proposed. First it implements anisotropic diffusion filtering to images and constructs a new expense function, then combined with region growing segmentation algorithm, it implements interactive segmentation to medical images. Improved algorithm avoids the shortcomings of the traditional Live-wire algorithm which is sensitive to noise and can not effectively distinguish the edge of the strength, also reduces the time and blindness of dynamic programming to find the optimal path and improves the accuracy and implementation efficiency of the image segmentation.

scholarly journals A Research and Application of the Processing Methods of Railway Measurement Based on Self-Mobile Scanning Measurement System

2020 ◽  
Author(s):  
Jiancai Zhang ◽  
Hang Mu ◽  
Feng Han ◽  
Shumin Han
Keyword(s):  
Measurement System ◽  
High Speed ◽  
Automatic Segmentation ◽  
Laser Scanner ◽  
Region Growing ◽  
Image Sensor ◽  
Operating Conditions ◽  
Secondary Development ◽  
Railway Line ◽  
Region Growing Segmentation

With the gradual improvement of China’s railway net, the opening of international railways as well as the continuous growth of railway operating mileage, the workload of remeasuring railways is increasing. The traditional methods of remeasuring railways can not meet current high-speed and high-density operating conditions anymore in terms of safety, efficiency and quality, so a safer and more efficient measurement method is urgently needed.This thesis integrated various sensors on a self-mobile instrument, such as 3D laser scanner, digital image sensor and GNSS_IMU, designing a set of intelligent and integrated self-mobile scanning measurement system. This thesis proposed region growing segmentation based on the reflection intensity of point cloud. Through the secondary development of CAD, the menu for automatic processing of self-mobile scanning measurement system is designed to realize rail automatic segmentation, extraction of rail top points, fitting of plane parameters of railway line, calculation of curve elements and mileage management.The results show that self-mobile scanning measurement system overcomes the shortcomings of traditional railway measurement to some extent, and realizes intelligent measurement of railways.

A Cloud Computing Strategy for Region-Growing Segmentation

2016 ◽  
Vol 9 (12) ◽  
pp. 5294-5303 ◽  
Author(s):  
Patrick Nigri Happ ◽  
Gilson Alexandre Ostwald Pedro da Costa ◽  
Cristiana Bentes ◽  
Raul Queiroz Feitosa ◽  
Rodrigo da Silva Ferreira ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Region Growing ◽  
Region Growing Segmentation
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