Studies Of Initial Lung Cancer CT Image Focus Area Enhancement And Segmentation

In this paper mainly study early lung cancer CT image, explore on using newly image enhancement technique diagnoses early lung cancer image application foreground. Due to in the early lung cancer CT image, focus area was very small, tissue structure and its around tissues contrast weak and many reasons, great effect on doctors recognition of the focus area, consequently bring on fail to diagnoses and misdiagnoses.In this paper experiments to early lung cancer CT images based the equality demixing multi-scale enhancement and mathematic morphological segmentation effective useful method.Early lung cancer CT images based the equality demixing can maximum limit mining vision information make the doctors better vision effect, can obtain when doctors not enhancement CT process, aim of at once find the focus.Mathematic morphological segmentation methods can maximum limit separate focuses for doctors detailed contrast study. Using MATLAB for the early lung cancer CT images above-mentioned process, focus area visibility improving remarkably, for doctors diagnoses provided exact image basis.