Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue-...Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue- surface reflection problem. Neighbouring and similar region's information was used to restore the region with tongue- surface reflection problem by replacement. Secondly, the restored image was transformed into a gray one, and then processed by mathematical morphological operation- dilation to get a closed- loop edge. The third technique used was watershed algorithm, which is an usual tool in image segmentation. 'Watershed' function of matlab software was used to complete this algorithm. After that, region- combination technique was used. Through measuring neighbourship and similarity of regions, a non- objective and non- background region was merged into one of its neighbouring regions. This step was repeated until only two regions, objective and background regions, were left in the image. At last, corresponding to the merged image, tongue- body image was got from the original image. Results: 316 images were randomly taken from the image library for experiments, and 299 images were correctly segmented, so, the successful ratio is 94.62%. On the other hand, average time of running this method was about 50 s under whole sampling environment. Conclusion: The method presented in this paper can segment a tongue- body image from its original one effectively, and thus laying a good foundation for the following analysis work.展开更多
The Tohoku Regional Bureau(TRB) of the Ministry of Land, Infrastructure, Transport and Tourism(MLIT) performed various actions in response to the 2011 Great East Japan Earthquake and Tsunami. The total disaster recove...The Tohoku Regional Bureau(TRB) of the Ministry of Land, Infrastructure, Transport and Tourism(MLIT) performed various actions in response to the 2011 Great East Japan Earthquake and Tsunami. The total disaster recovery and reconstruction period is expected to last for 10 years, of which the first five years are regarded as the concentrated reconstruction period. As of 2013, a majority of the mega projects that involved restoration actions have been completed, which indicates a more effective rate of completion compared with the MLIT projects performed in normal non-disaster situations. This short article explains the management process of the recovery and reconstruction utilized by the TRB—an interorganizational process—from a business process management(BPM) perspective and creates a simple organization construction diagram of the entire process. The study focused on the transactions and actor roles to identify their strengths. The findings indicate the utilization of different operational procedures in some parts of the process, the importance of liaison role, as well as some obstacles. The lessons learned from this analysis can assist managers and researchers in designing and managing restoration processes for future disasters.展开更多
基金National Natural Science Foundation of China grant number: 30371717
文摘Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue- surface reflection problem. Neighbouring and similar region's information was used to restore the region with tongue- surface reflection problem by replacement. Secondly, the restored image was transformed into a gray one, and then processed by mathematical morphological operation- dilation to get a closed- loop edge. The third technique used was watershed algorithm, which is an usual tool in image segmentation. 'Watershed' function of matlab software was used to complete this algorithm. After that, region- combination technique was used. Through measuring neighbourship and similarity of regions, a non- objective and non- background region was merged into one of its neighbouring regions. This step was repeated until only two regions, objective and background regions, were left in the image. At last, corresponding to the merged image, tongue- body image was got from the original image. Results: 316 images were randomly taken from the image library for experiments, and 299 images were correctly segmented, so, the successful ratio is 94.62%. On the other hand, average time of running this method was about 50 s under whole sampling environment. Conclusion: The method presented in this paper can segment a tongue- body image from its original one effectively, and thus laying a good foundation for the following analysis work.
文摘The Tohoku Regional Bureau(TRB) of the Ministry of Land, Infrastructure, Transport and Tourism(MLIT) performed various actions in response to the 2011 Great East Japan Earthquake and Tsunami. The total disaster recovery and reconstruction period is expected to last for 10 years, of which the first five years are regarded as the concentrated reconstruction period. As of 2013, a majority of the mega projects that involved restoration actions have been completed, which indicates a more effective rate of completion compared with the MLIT projects performed in normal non-disaster situations. This short article explains the management process of the recovery and reconstruction utilized by the TRB—an interorganizational process—from a business process management(BPM) perspective and creates a simple organization construction diagram of the entire process. The study focused on the transactions and actor roles to identify their strengths. The findings indicate the utilization of different operational procedures in some parts of the process, the importance of liaison role, as well as some obstacles. The lessons learned from this analysis can assist managers and researchers in designing and managing restoration processes for future disasters.
