Edge Detection <\/p>\n
1. Please learn how to use imgradientxy() function to compute the partial derivatives of image <\/p>\n
\u201cmedical1.jpg\u201d in x and y directions. Please use three different ways to compute the<\/p>\n
derivatives. Display the derivative maps on screens. (Submit the code in .m file and screen <\/p>\n
shots of the derivative maps)<\/p>\n
2. Please learn how to use imgradient() function in matlab and use it to compute the gradients<\/p>\n
of image \u201cmedical1.jpg\u201d. Please use three different ways to compute the gradients. Display <\/p>\n
the gradient map on screens. (Submit the code in .m file and screen shots of the gradient <\/p>\n
maps)<\/p>\n
3. Please use matlab function edge() to find the edges of the image \u201cmedical1.jpg\u201d and<\/p>\n
compare the results. Submit your matlab code and images after edge detection obtained by <\/p>\n
three methods: sobel, prewitt and Roberts<\/p>\n
Image Enhancement<\/p>\n
4. Please use \u201ccontrast stretching\u201d method in matlab function imadjust() to enhance the eimage <\/p>\n
\u201cmedical1.jpg\u201d. Submit your matlab code and images after enhancement. Please try to adjust <\/p>\n
different parameters to get the best enhancement.<\/p>\n
5. Please use the matlab function histogram() to get the histogram of the image\u201cmedical1.jpg\u201d and <\/p>\n
then use histeq() to enhance it . Submit your matlab code and images after enhancement.<\/p>\n
Image Fusion <\/p>\n
part 1: Write matlab code to fuse two medical images using the simple average method.<\/p>\n
Image 1. MRI image (mri_g)<\/p>\n
Image 2. CT image (ct_g)<\/p>\n
Part\u00a0 2: Please write half page summary of the following paper:\u00a0
image_fusion_review.pdf<\/p>\n
Image segmentation<\/p>\n
Please write matlab code to segment the skin lesion region from each image attached below.<\/p>\n
Please label the lesion region red and other regions by blue. Please use k-means to do that.<\/p>\n
Attached Files:<\/p>\n
Skin_lession1.jpeg <\/p>\n
skin3.jpg <\/p>\n
skin4.png <\/p>\n
skin5.jpg<\/p>\n","protected":false},"excerpt":{"rendered":"
Edge Detection 1. Please learn how to use imgradientxy() function to compute the partial derivatives of image \u201cmedical1.jpg\u201d in x and y directions. Please use three different ways to compute the derivatives. Display the derivative maps on screens. (Submit the code in .m file and screen shots of the derivative maps) 2. Please learn how […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10],"class_list":["post-107149","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-writing"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/107149","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=107149"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/107149\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=107149"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=107149"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=107149"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}