Abstract-Image magnification algorithms directly affect the quality of image magnification. In this paper, based on the image interpolation algorithm principle, features of the nearest neighbor interpolation, bilinear interpolation, bicubic interpolation and cubic B spline interpolation were analyzed. At the same time, their advantages and disadvantages were compared. In the experiment, image magnification performance of different interpolation algorithms was compared from subjective and objective aspects. The experimental results give the guidance for the user to choose a suitable algorithm to achieve optimum results according to different application.

This paper concerns the problem of tree height measurement based on image processing embedded in smart mobile phone. A smart phone with camera and a benching marking were used to in our method. Before the tree photo was taken, a benching marking with red colored ends was leaned on the tree closely and parallel to tree trunk. Then the top point of the tree image was extracted according to their color features. And the coordinates of the two marker points on the end of the benching marking were got too. Lastly, the tree height can be worked out using triangle similarity theory. The experimental results show that the relative measurement error of tree height is about 5%. So it is a viable method. Keywords-image processing; image segmentation; tree height measurement; smart mobilephoneI.

Moving shadow detection is a challenging task in computer vision

No abstract

This paper concerns the problem of tree image segmentation. Image segmentation is the basis of the precision toward-target pesticide application to trees and the real-time and accuracy requirements are very high. In this work, we transformed the image color space from RGB to HIS and normalized the image hue centered on tree hue. Then the color image was segmented by using of an improved 2-D OTSU method. Results show our method has good accuracy and realtime performance and can be used in the precision toward-target pesticide application to trees.