[PDF][PDF] Entropy guided clustering improvements and statistical rule-based refinements for bone segmentation of X-ray images
J Tamouk, A Acan - Journal of Computer Science, 2016 - jcsit.thebrpi.org
During the recent decade, segmentation algorithms have been applied extensively to
medical images in order to assist physician treating and diagnosing variety of diseases …
medical images in order to assist physician treating and diagnosing variety of diseases …
[PDF][PDF] Automatic Moving Objects Segmentation Enhancement Based on Fuzzy C-Means with Gabor Filter and Minkowski Distance
MA Soeleman, M Hariadi… - … on Computers and …, 2015 - repository.dinus.ac.id
The low intensity of several pixels can be a crucial problem for the segmentation of moving
object because the object cannot be separated perfectly from the background. This paper …
object because the object cannot be separated perfectly from the background. This paper …
[PDF][PDF] Design and Implementation of Flexible Manufacturing Cell for The Inspection of Ceramic Wall Plates
WA El-Badry - MSc. In Mechatronics, Design and Production …, 2012 - academia.edu
Quality inspection is one of the recurring topics among industrial community. Garnished wall
plates may require inspection in terms of geometry (height, width, corner radius... etc) …
plates may require inspection in terms of geometry (height, width, corner radius... etc) …
[PDF][PDF] TWO-LAYER SOFT MAJORITY VOTING: APPLICATION FOR BONE SEGMENTATION IN X-RAY IMAGES
J TAMOUK, N LOTFI - International Journal of Computer Science and …, 2018 - academia.edu
Segmentation algorithms and their combination have been applied widely to medical
images particularly X-ray images of bones. Among all types of medical imaging …
images particularly X-ray images of bones. Among all types of medical imaging …
[PDF][PDF] A Brief Review of Image Segmentation Techniques
P Rauf - IJCSIS, 2017 - academia.edu
Segmentation techniques are either contextual or noncontextual. The role of segmentation is
crucial in most tasks requiring image analysis. The success or failure of the task is often a …
crucial in most tasks requiring image analysis. The success or failure of the task is often a …
Segmentation of Moving Objects Based on Minkowski Distance Using K-means Clustering
Segmentation of moving objects is one of the challenging research areas for video
surveillance application. The success of object changing position for segmentation is when …
surveillance application. The success of object changing position for segmentation is when …