scholarly journals Fetal Ultrasound Image Classification Using a Bag-of-words Model Trained on Sonographers’ Eye Movements

2016 ◽  
Vol 90 ◽  
pp. 157-162 ◽  
Author(s):  
M. Ahmed ◽  
J.A. Noble
Keyword(s):  
Eye Movements ◽  
Image Classification ◽  
Ultrasound Image ◽  
Bag Of Words ◽  
Fetal Ultrasound

An Optimized Method for Image Classification Based on Bag of Words Model

2013 ◽  
Vol 34 (9) ◽  
pp. 2064-2070 ◽  
Author(s):  
Chun-hui Zhao ◽  
Ying Wang ◽  
KANEKO Masahide
Keyword(s):  
Image Classification ◽  
Bag Of Words

Discriminative Feature Selection in Image Classification and Retrieval

2012 ◽  
pp. 216-230
Author(s):  
Shang Liu ◽  
Xiao Bai
Keyword(s):  
Image Classification ◽  
Bag Of Words ◽  
Current Image ◽  
Visual Words ◽  
Discriminative Feature ◽  
Label Information ◽  
Novel Method ◽  
Category Knowledge ◽  
Supervised Image Classification ◽  
High Level

In this chapter, the authors present a new method to improve the performance of current bag-of-words based image classification process. After feature extraction, they introduce a pairwise image matching scheme to select the discriminative features. Only the label information from the training-sets is used to update the feature weights via an iterative matching processing. The selected features correspond to the foreground content of the images, and thus highlight the high level category knowledge of images. Visual words are constructed on these selected features. This novel method could be used as a refinement step for current image classification and retrieval process. The authors prove the efficiency of their method in three tasks: supervised image classification, semi-supervised image classification, and image retrieval.

Morphologic Operators Applied to Breast Tumour Ultrasound Image Classification

2004 ◽  
pp. 463-470
Author(s):  
A. V. Alvarenga ◽  
W. C. A. Pereira ◽  
A. F. C. Infantosi ◽  
C. M. Azevedo
Keyword(s):  
Image Classification ◽  
Ultrasound Image ◽  
Breast Tumour
Sign in / Sign up

Export Citation Format

Share Document