The current study provides a quantum calculus-based medical image enhancement technique that dynamically chooses the spatial distribution of image pixel intensity values.The technique focuses on boosting the edges and...The current study provides a quantum calculus-based medical image enhancement technique that dynamically chooses the spatial distribution of image pixel intensity values.The technique focuses on boosting the edges and texture of an image while leaving the smooth areas alone.The brain Magnetic Resonance Imaging(MRI)scans are used to visualize the tumors that have spread throughout the brain in order to gain a better understanding of the stage of brain cancer.Accurately detecting brain cancer is a complex challenge that the medical system faces when diagnosing the disease.To solve this issue,this research offers a quantum calculus-based MRI image enhancement as a pre-processing step for brain cancer diagnosis.The proposed image enhancement approach improves images with low gray level changes by estimating the pixel’s quantum probability.The suggested image enhancement technique is demonstrated to be robust and resistant to major quality changes on a variety ofMRIscan datasets of variable quality.ForMRI scans,the BRISQUE“blind/referenceless image spatial quality evaluator”and the NIQE“natural image quality evaluator”measures were 39.38 and 3.58,respectively.The proposed image enhancement model,according to the data,produces the best image quality ratings,and it may be able to aid medical experts in the diagnosis process.The experimental results were achieved using a publicly available collection of MRI scans.展开更多
通过扫描电镜/能谱、X射线衍射以及金相分析,针对含0.3%Fe(质量分数)的Al Mg Si Cu铝合金,研究了Mn含量对其结晶相的影响。研究表明:合金在铸造过程中形成的结晶相为Al1.9CuMg4.1Si3.3,Al5(FeMn)Si,Al8(FeMn)2Si以及少量的Mg2Si;增大含M...通过扫描电镜/能谱、X射线衍射以及金相分析,针对含0.3%Fe(质量分数)的Al Mg Si Cu铝合金,研究了Mn含量对其结晶相的影响。研究表明:合金在铸造过程中形成的结晶相为Al1.9CuMg4.1Si3.3,Al5(FeMn)Si,Al8(FeMn)2Si以及少量的Mg2Si;增大含Mn量,合金中AlFeMnSi型结晶相数量增多;对合金进行均匀化处理时,Al1.9CuMg4.1Si3.3相完全溶解,发生Al5(FeMn)Si向Al8(FeMn)2Si相的转变;对合金进行轧制及最终热处理后,结晶相碎化且沿轧向呈纤维状分布,但结晶相的类型不变。展开更多
文摘The current study provides a quantum calculus-based medical image enhancement technique that dynamically chooses the spatial distribution of image pixel intensity values.The technique focuses on boosting the edges and texture of an image while leaving the smooth areas alone.The brain Magnetic Resonance Imaging(MRI)scans are used to visualize the tumors that have spread throughout the brain in order to gain a better understanding of the stage of brain cancer.Accurately detecting brain cancer is a complex challenge that the medical system faces when diagnosing the disease.To solve this issue,this research offers a quantum calculus-based MRI image enhancement as a pre-processing step for brain cancer diagnosis.The proposed image enhancement approach improves images with low gray level changes by estimating the pixel’s quantum probability.The suggested image enhancement technique is demonstrated to be robust and resistant to major quality changes on a variety ofMRIscan datasets of variable quality.ForMRI scans,the BRISQUE“blind/referenceless image spatial quality evaluator”and the NIQE“natural image quality evaluator”measures were 39.38 and 3.58,respectively.The proposed image enhancement model,according to the data,produces the best image quality ratings,and it may be able to aid medical experts in the diagnosis process.The experimental results were achieved using a publicly available collection of MRI scans.
文摘通过扫描电镜/能谱、X射线衍射以及金相分析,针对含0.3%Fe(质量分数)的Al Mg Si Cu铝合金,研究了Mn含量对其结晶相的影响。研究表明:合金在铸造过程中形成的结晶相为Al1.9CuMg4.1Si3.3,Al5(FeMn)Si,Al8(FeMn)2Si以及少量的Mg2Si;增大含Mn量,合金中AlFeMnSi型结晶相数量增多;对合金进行均匀化处理时,Al1.9CuMg4.1Si3.3相完全溶解,发生Al5(FeMn)Si向Al8(FeMn)2Si相的转变;对合金进行轧制及最终热处理后,结晶相碎化且沿轧向呈纤维状分布,但结晶相的类型不变。
