scholarly journals A Hybrid Segmentation Method Applied to Color Images and 3D Information

2006 ◽  
pp. 789-799 ◽  
Author(s):  
Rafael Murrieta-Cid ◽  
Raúl Monroy
Keyword(s):  
Color Images ◽  
Segmentation Method ◽  
Hybrid Segmentation ◽  
3D Information

scholarly journals A Fast, Fully Automated Prostate Boundary Segmentation Using Probabilistic Approaches In Ultrasound Images

2021 ◽  
Author(s):  
Rasa Vafaie
Keyword(s):  
Em Algorithm ◽  
Signal To Noise Ratio ◽  
Transrectal Ultrasound ◽  
Speckle Noise ◽  
Computational Time ◽  
Dice Similarity Coefficient ◽  
Ultrasound Images ◽  
Segmentation Method ◽  
Initial Model ◽  
Hybrid Segmentation

Segmentation of prostate boundaries in transrectal ultrasound (TRUS) images plays a great role in prostate cancer diagnosis. Due to the low signal to noise ratio and existence of the speckle noise in TRUS images, prostate image segmentation has proven to be an extremely difficult task. In this thesis report, a fast fully automated hybrid segmentation method based on probabilistic approaches is presented. First, the position of the initial model is automatically estimated using prostate boundary representative patterns. Next, the Expectation Maximization (EM) algorithm and Markov Random Field (MRF) theory are utilized in the deformation strategy to optimally fit the initial model on the prostate boundaries. A less computationally EM algorithm and a new surface smoothing technique are proposed to decrease the segmentation time. Successful experimental results with the average Dice Similarity Coefficient (DSC) value 93.9±2.7% and computational time around 9 seconds validate the algorithm.

A fast segmentation method for high-resolution color images of foreign fibers in cotton

2011 ◽  
Vol 78 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Xin Zhang ◽  
Daoliang Li ◽  
Wenzhu Yang ◽  
Jinxing Wang ◽  
Shuangxi Liu
Keyword(s):  
High Resolution ◽  
Color Images ◽  
Segmentation Method

scholarly journals Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 40861-40880 ◽  
Author(s):  
Xiaowen Yang ◽  
Xie Han ◽  
Qingde Li ◽  
Ligang He ◽  
Min Pang ◽  
...  
Keyword(s):  
Point Clouds ◽  
Segmentation Method ◽  
Hybrid Segmentation ◽  
3D Shapes

scholarly journals A New and Fast Multiphase Image Segmentation Model for Color Images

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Yunyun Yang ◽  
Boying Wu
Keyword(s):  
Image Segmentation ◽  
A Priori ◽  
Color Images ◽  
Triple Junctions ◽  
Segmentation Method ◽  
Split Bregman Method ◽  
Split Bregman ◽  
Piecewise Constant ◽  
Multiple Regions ◽  
Convex Image Segmentation

This paper presents a new and fast multiphase image segmentation model for color images. We propose our model by incorporating the globally convex image segmentation method and the split Bregman method into the piecewise constant multiphase Vese-Chan model for color images. We have applied our model to many synthetic and real color images. Numerical results show that our model can segment color images with multiple regions and represent boundaries with complex topologies, including triple junctions. Comparison with the Vese-Chan model demonstrates the efficiency of our model. Besides, our model does not require a priori denoising step and is robust with respect to noise.

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