Recognition of Birds in Blurred and Illumination Images by Local Features
2017 ◽
Vol 7
(7)
◽
pp. 243
Keyword(s):
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.
2020 ◽
Vol 17
(9)
◽
pp. 4419-4424
Keyword(s):
2012 ◽
Vol 2012
◽
pp. 1-7
◽
2019 ◽
Vol 31
(6)
◽
pp. 844-850
◽
Keyword(s):
2019 ◽
Vol 8
(4)
◽
pp. 8231-8236
2019 ◽
Vol 9
(2)
◽
pp. 309-314
2021 ◽