Open AccessEstimation of object location probability for object detection using brightness feature only
Author(s) -
Hyun Jun Park,
Kwang-Baek Kim
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i6.pp5227-5234
Subject(s) - artificial intelligence , computer vision , object (grammar) , computer science , object detection , brightness , pattern recognition (psychology) , feature (linguistics) , viola–jones object detection framework , face detection , linguistics , philosophy , physics , optics , facial recognition system
Most existing object detection methods use features such as color, shape, and contour. If there are no consistent features can be used, we need a new object detection method. Therefore, in this paper, we propose a new method for estimating the probability that an object can be located for object detection and generating an object location probability map using only brightness in a gray image. To evaluate the performance of the proposed method, we applied it to gallbladder detection. Experimental results showed 98.02% success rate for gallbladder detection in ultrasonogram. Therefore, the proposed method accurately estimates the object location probability and effectively detected gallbladder.