Identification Of Megaloblastic Anemia Cells Through The Use Of Image Processing Techniques

Objective:Ouraimistoshowthepossibility ofusingdifferentimageprocessingtechniquesfor bloodsmearanaly-sis.Alsoouraimistodeterminethesequenceofimageprocessing techniquesto identifymegaloblastic anemiacells. Methods:Weconsiderbloodsmearimage.Weuseavariety ofimageprocessingtechniquesto identify meg-aloblasticanemiacells.Amongthesemethods,wedistinguishthemodificationofthe color spaceand the useof wavelets. Results:Wedevelopedasequenceofimageprocessing techniquesforbloodsmearimageanalysis andmegaloblasticanemiacellsidentification.Asacharacteristicfeature formegaloblasticanemia cellsidentification,we considerneutrophilimagestructure.We alsouse the morphologicalmethods of imageanalysisin order to re-veal thenuclear lobes inneutrophilstructure. Conclusion:Wecanidentify themegaloblasticanemiacells.Todothis,weusethefollowing sequenceofbloodsmearimageprocessing:color imagemodification,changeof theim-age contrast, useof wavelets and morphologicalanalysisof thecellstructure.

Research on insomnia therapeutic instrument with brain electricity stimulation / 医疗卫生装备

Processed by the MATLAB-based wavelet analysis,normal EEG signal is used as stimulating source to stimulate brain at proper points for insomnia treatment.This paper explains the design principle of the instrument as well as the hardware structure and the software implementation.