Fault lineaments are the main input data in earthquake engineering and seismology studies.This study presents a digitally-based active fault map of the Kerman region in central-east Iran which experienced several deva...Fault lineaments are the main input data in earthquake engineering and seismology studies.This study presents a digitally-based active fault map of the Kerman region in central-east Iran which experienced several devastating earthquakes on poorly exposed and/or not identified active faults.Using Landsat 8 data,we have carried out the image-based procedures of fault mapping,which include applying the contrast stretching technique,the principal component analysis,the color composite technique,the spectral rationing,and creating the false-color composite images.Besides,we have cross-checked the resulting map with the geological maps provided by the Geological Survey of Iran to decrease the associated uncertainties.The resulting map includes 123 fault segments,still,a part of which has been expressed in the previously compiled active-fault maps of Iran.Indeed,the new one is mapping the poorly exposed active faults,so-called secondary faults,which are able to produce strong events.These faults are primarily associated with poorly defined areas that accommodate low levels of seismicity;however,sporadic strong events are likely to occur.It has also been investigated that these kinds of faults are seismogenic and are able to produce destructive events.In total,the outcome of this study can also be jointed with seismic studies for investigating parts of the earthquake activity in central-east Iran,in particular for the fault-based approaches in impending earthquake-resistant buildings.展开更多
Image segmentation is one of the earliest and most important stages of image processing and plays an important role in both qualitative and quantitative analysis of medical ultrasound images but ultrasound images have...Image segmentation is one of the earliest and most important stages of image processing and plays an important role in both qualitative and quantitative analysis of medical ultrasound images but ultrasound images have low level of contrast and are corrupted with strong speckle noise. Due to these effects, segmentation of ultrasound images is very challenging and traditional image segmentation methods may not be leads to satisfactory results. The active contour method has been one of the widely used techniques for image segmentation;however, due to low quality of ultrasound images, it has encountered difficulties. In this paper, we presented a segmental method combined genetic algorithm and active contour with an energy minimization procedure based on genetic algorithms. This method have been proposed to overcome some limits of classical active contours, as con-tour initialization and local minima (speckle noise), and have been successfully applied on medical ultrasound images. Experimental result on medical ultrasound image show that our presented method only can correctly segment the circular tissue’s on ultra-sound images.展开更多
基金the financial support of Kerman Provincial Gas Corporation&National Iranian Gas Company to conduct this research via Funding Sources of #062570 and#062571.
文摘Fault lineaments are the main input data in earthquake engineering and seismology studies.This study presents a digitally-based active fault map of the Kerman region in central-east Iran which experienced several devastating earthquakes on poorly exposed and/or not identified active faults.Using Landsat 8 data,we have carried out the image-based procedures of fault mapping,which include applying the contrast stretching technique,the principal component analysis,the color composite technique,the spectral rationing,and creating the false-color composite images.Besides,we have cross-checked the resulting map with the geological maps provided by the Geological Survey of Iran to decrease the associated uncertainties.The resulting map includes 123 fault segments,still,a part of which has been expressed in the previously compiled active-fault maps of Iran.Indeed,the new one is mapping the poorly exposed active faults,so-called secondary faults,which are able to produce strong events.These faults are primarily associated with poorly defined areas that accommodate low levels of seismicity;however,sporadic strong events are likely to occur.It has also been investigated that these kinds of faults are seismogenic and are able to produce destructive events.In total,the outcome of this study can also be jointed with seismic studies for investigating parts of the earthquake activity in central-east Iran,in particular for the fault-based approaches in impending earthquake-resistant buildings.
文摘Image segmentation is one of the earliest and most important stages of image processing and plays an important role in both qualitative and quantitative analysis of medical ultrasound images but ultrasound images have low level of contrast and are corrupted with strong speckle noise. Due to these effects, segmentation of ultrasound images is very challenging and traditional image segmentation methods may not be leads to satisfactory results. The active contour method has been one of the widely used techniques for image segmentation;however, due to low quality of ultrasound images, it has encountered difficulties. In this paper, we presented a segmental method combined genetic algorithm and active contour with an energy minimization procedure based on genetic algorithms. This method have been proposed to overcome some limits of classical active contours, as con-tour initialization and local minima (speckle noise), and have been successfully applied on medical ultrasound images. Experimental result on medical ultrasound image show that our presented method only can correctly segment the circular tissue’s on ultra-sound images.
