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	Local difference-based active contour model for medical image segmentation and bias correction 期刊论文 OAI收割 IET Image Processing, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762 作者: Niu, Yuefeng; Cao, Jianzhong \| 收藏 \| 浏览/下载：69/0 \| 提交时间：2019/09/25 image segmentation medical image processing two-phase model medical images LBDE model precise segmentation results comparative models local difference-based active contour model medical image segmentation bias correction local bias field difference estimation model smooth orthogonal basis functions clustering criterion function measured image local region accurate segmentation results level set evolution process
	Local difference-based active contour model for medical image segmentation and bias correction 期刊论文 OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762 作者: Niu, Yuefeng \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2020/06/05 image segmentation medical image processing two-phase model medical images LBDE model precise segmentation results comparative models local difference-based active contour model medical image segmentation bias correction local bias field difference estimation model smooth orthogonal basis functions clustering criterion function measured image local region accurate segmentation results level set evolution process
	MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文 OAI收割 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China 作者: Zhang T.; Gao X. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea left and right main bronchus as well as bronchi) the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images and results show that it is able to segment bronchioles and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.
	Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China 作者: Liu J.; Sun Q.; Wang J.; Ye X.; Xu H. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A simple detection measurement is developed for realtime small target detection in infrared background which can be easily available on FPGA. Basing on the difference between target and background a predictive background is generated via restraining the infrared background with median filter and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames a comprehensive analysis of residual image is made and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.