scholarly journals Fast algorithms for histogram matching: Application to texture synthesis

2000 ◽  
Vol 9 (1) ◽  
pp. 39 ◽  
Author(s):  
V. Vo
Keyword(s):  
Texture Synthesis ◽  
Fast Algorithms ◽  
Histogram Matching

Recognition of Birds in Blurred and Illumination Images by Local Features

2017 ◽  
Vol 7 (7) ◽  
pp. 243
Author(s):  
Suresha .M ◽  
. Sandeep
Keyword(s):  
Computer Vision ◽  
Time Complexity ◽  
Feature Detection ◽  
Feature Matching ◽  
Fast Algorithms ◽  
Local Features ◽  
Experimental Demonstration ◽  
Harris Corner ◽  
Blurred Image ◽  
Blurred Images

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.

Wang Tile-based improved texture synthesis

2010 ◽  
Vol 30 (8) ◽  
pp. 2098-2100 ◽  
Author(s):  
Feng XUE ◽  
Cheng CHENG ◽  
Ju-lang JIANG
Keyword(s):  
Texture Synthesis ◽  
Wang Tile
Sign in / Sign up

Export Citation Format

Share Document