Title :
Scenic beauty estimation of forestry images
Author :
Kalidindi, N. ; Le, A. ; Picone, J. ; Zheng, L. ; Yaqin, H. ; Rudis, V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
Abstract :
The aesthetic quality of forests in the US is actively managed by the United States Department of Agriculture (USDA) Forest Service. To support this mission, several forest lands in the southern US have been carefully photographed and analyzed for factors contributing to scenic content. We describe algorithms that we developed to automatically assess the scenic quality of images. The goal of the project was to develop objective techniques to determine the scenic beauty rating of the image and correlate the rating to the subjective ratings available from human experimentation. The evaluation database that was developed for this task is also described
Keywords :
correlation methods; forestry; image processing; visual databases; USA; USDA; United States Department of Agriculture; aesthetic quality; algorithms; correlation; evaluation database; forestry images; forests; human experimentation; objective techniques; scenic beauty estimation; scenic beauty rating; scenic content; southern US; subjective ratings; Agricultural engineering; Engineering management; Forestry; Frequency estimation; Histograms; Humans; Image databases; Quality management; Resource management; US Department of Agriculture;
Conference_Titel :
Southeastcon '97. Engineering new New Century., Proceedings. IEEE
Conference_Location :
Blacksburg, VA
Print_ISBN :
0-7803-3844-8
DOI :
10.1109/SECON.1997.598707
