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Micro defects usually lead to performance degradation of materials. Pulse-echo technique is an effective method of revealing micro defects in materials, and booming in which has been witnessed over the years. However, detection of flaw echoes submerged in intensive noise is challenging. In this paper, a method of flaw echoes detection based on generalized S-transform is proposed. The original signals...
The performance assessment of automatic crack detection algorithms within pavement images requires beforehand to establish a reference image, namely, the pseudo-ground truth image (PGT). In this context, this paper presents some existing pseudo-ground truth (PGT) data collection techniques which rely on image processing techniques. The processing of five Single Pair Shortest Path (SPSP) algorithms...
The MPS approach (Minimal Path Selection) has shown in [1] to provide robust and accurate segmentation of cracks within pavement images compared to other algorithms. As a counterpart, MPS suffers from a large computing time. In this paper, we present three different ongoing improvements to reduce the computing time and to improve the overall segmentation performance. Most of the work focuses on the...
This paper presents a method to detect and recognize mature tomato fruit clusters on a complex-structured tomato plant containing clutter and occlusion in a tomato greenhouse for automatic harvesting purpose. A color stereo vision camera (PGR BumbleBee2) is applied as the vision sensor. The proposed method performs a 3D reconstruction with the data collected by the stereo camera to create a 3D environment...
Segmentation of liver tissues in CT image is particularly challenging due to the anatomic complexity. An integrated model based statistical learning and morphology operations are presented in the paper to simplify the liver segmentation procedure and achieve qualified results simultaneously. The proposed scheme consists of two subroutines: initial segmentation and refinement. The former estimates...
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