Image feature detection and matching technologies are crucial aspects in machine vision. However it is still facing the dilemma between fast operation for real-time application and robust matching. To address this issue, we propose a robust and relatively fast method for image feature extraction and matching with linear adjustment and adaptive thresholding (LAAT) in this paper. The major challenge of this method is reducing the sensitivity to the brightness. To solve this problem, we adopt brightness and contrast adjustment for image pairs processed by Gaussian filtering. An adaptive thresholding FAST approach is applied for feature selection to improve the performance. The proposed method is compared with the traditional and state-of-the-art extraction methods on public dataset. Particularly, this paper focuses on the illumination change, image blur, and image rotation aspects. Experiments show that our proposed algorithm is superior to other algorithms in the comprehensive evaluation of various parameters, especially for illumination and blur transformations.

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(2016) Dynamic analysis of the human brain with complex cerebral sulci, Bioengineered, 7:4, 219-225, DOI: 10.1080/21655979.2016 ABSTRACTThe brain is one of the most vulnerable organs inside the human body. Head accidents often appear in daily life and are easy to cause different level of brain damage inside the skull. Once the brain suffered intense locomotive impact, external injuries, falls, or other accidents, it will result in different degrees of concussion. This study employs finite element analysis to compare the dynamic characteristics between the geometric models of an assumed simple brain tissue and a brain tissue with complex cerebral sulci. It is aimed to understand the free vibration of the internal brain tissue and then to protect the brain from injury caused by external influences. Reverse engineering method is used for a Classic 5-Part Brain (C18) model produced by 3B Scientific Corporation. 3D optical scanner is employed to scan the human brain structure model with complex cerebral sulci and imported into 3D graphics software to construct a solid brain model to simulate the real complex brain tissue. Obtaining the normal mode analysis by inputting the material properties of the true human brain into finite element analysis software, and then to compare the simplified and the complex of brain models.

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