Imaging

Content: Hi Guys. Hope everyone had a nice Thanksgiving. I know that this is a new and confusing holiday for some, but I am sure that you have unique holidays that I would not understand. Jimmy really knows his stuff, but this is complex. For images, you acquire, preprocess, enhance, restore, segment, represent descriptively and recognize and interpret. He has focused on image enhancement, restoration and segmentation. The enhancement makes the image more suitable for applications and improves sharpness and contrast. The components here are point processing and neighborhood processing. Point processing utilizes arithmetic operations. Averaging and non-linear median filters can be used for the specific function needed. Geometric functions can also be used for enhancement and rotation is one type of this method. Image restoration involves the removal or reduction of degradation. For Noise, includes gaussian, salt and pepper, speckle, and periodic and is these must are ways to address this. The median filter is advantageous for removal of the salt and pepper noise. Gaussian noise approaches utilize a composite image from a sequence of images. Image segmentation is focused on the separation of the image into component parts. Thresholding is used here. Edge detection is another aspect of the segmentation process. Specific filters including Sobel, Canny edge, and Roberts may be used for this. Edges may be sharp or ramped, requiring different approaches. I will continue to evaluate the mathematical functions that are involved here. So much of brain imaging depends on these approaches.

Posted by Stuart