本次美国代写是一个Matlab的assignment

I: Edge Detection using Multiscale LOG Detectors

Find all the edges in an image of your choice using multiscale LOG filters, i.e.,
2G . Specifically, you need to implement the following:
(1) Blur the image with Gaussian filters (i.e., G) at several different scales (e.g.,
  2,8,16). Show the blurred images to illustrate the multiscale idea.

(2) Apply LOG filters (2G ) with the scales you choose in (1) to detect edges.

a) Show the output images filtered by 2G ; [Note that there are positive and
negative values. Hence you shall display zero value in gray (128).]

b) Display the LOG-filtered images with positive values in white (255) and
negative in black (0);

c) Display the zero-crossings.

d) (Bonus – 5 points) Combine the multiscale zero-crossings to obtain the
final edge map.

II: Edge Detection using Canny Edge Detectors

Find all the edges in an image of your choice using Canny edge detectors.
Specifically, you need to implement the following:

(1) Blur the image with Gaussian filters (i.e., G) at several different scales (e.g.,
  2,8,16). Show the blurred images to illustrate the multiscale idea.

(2) Apply Canny edge detectors with the scales you choose in (1) to detect
edges.

a) Show the magnitude and angle, respectively, of the gradient images after
applying Canny edge filters (i.e., the 1st derivative ofGaussians);

b) Display the edges before and after non-maximum suppression.

c) Display the final edge maps after edge linking (or the double-thresholding
technique).


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