Title :
Rapid measurement algorithm for inhibition zone array
Author :
Ping Wang ; Jun-Zhi Shi ; Cong Li
Author_Institution :
Inst. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
The identification and measurement of inhibition zones and the calculation of their key parameters are critical aspects to the work of the quality of inhibition zone measurement device. For current inhibition zone measurement systems having some deficiency such as low processing speed, inability to identify conjoined objects and precision decline when inhibition zone deforms, an algorithm is proposed in this paper. This algorithm can convert a multi-target identification problem to single-target one adaptively by using the information from bidirectional histograms, and can avoid most of interferences from deformation points by extracting a limited number of isometric candidate point-pairs from the inhibition zone contour and configuring non-isometric constrain. Test results show that this algorithm not only has an equivalent ability with traditional algorithm in identifying normal inhibition zones, but also has a significantly better effect in identifying and measuring sunken, extruded, conjoined or other distorted inhibition zones. And the processing speed is forty times faster than before.
Keywords :
antibacterial activity; image processing; object detection; bidirectional histograms; conjoined inhibition zones; conjoined object identification; deformation points; distorted inhibition zones; extruded inhibition zones; inhibition zone array; inhibition zone contour; inhibition zone identification; inhibition zone measurement algorithm; inhibition zone measurement device quality; inhibition zone precision; interference avoidance; isometric candidate point-pair extraction; key-parameter calculation; multitarget identification problem; nonisometric constrains; normal inhibition zone identification; processing speed; single-target identification problem; sunken inhibition zones; Abstracts; Arrays; Marine animals; Valves; Adaptive Threshold; Distorted Circle Fitting; Identification of Inhibition Zone;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890360