Brain MRI images that are acquired from the scanner will be having the non-brain tissues like skull, cerebrospinal fluid, Dura as the integral part of the image. All such unwanted elements does considerable impact on the estimation of the volume of the damaged region from resultant segmented image, Hence all such unwanted components from the brain MR image are be eliminated for accurate results. In this paper we had proposed a computationally efficient approach called Structural Augmentation which uses distance measures and morphological operation over a threaded bitmap image to eliminate the undesired region from the brain tissues. On applying the above said procedure well before the segmentation of the MR image, the evaluation seems to be meticulous. The end results of the proposed approach are proven to be superior in term of the accuracy and precision over conventional approaches.
Fourier Telescopy (FT), an active laser imaging technique, is a good choice for high resolution imaging systems, which can be used to obtain satellite images from geosynchronous orbit targets. These images maybe lose part of frequency spectrum due to the limitation of the separation of the transmitter apertures (STA) and antenna array arrangements, etc.In this paper, the impact on image reconstruction of active laser imaging technique owing to the uncompleted degree of spectrum is mainly discussed. First, the FT imaging theory and frequency sampling technology are introduced. Then, the basic principle of image reconstruction is analyzed. The defective high frequency spectrum which is caused by the limitation of STA is replaced by zero (zero padding method for short). And the spectrum defective degree is approximately treated as the results of original target images passing through an ideal low-pass filter. Finally, the image reconstruction program is designed and the uncompleted frequency spectrum images are simulated with the method of zero padding. Simulation results show that images begin to become blurring when the cutoff frequency of the ideal low-pass filter is 10% lower than the width of the after padding original images.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.