[SOLVED] Cs 270: digital image processing assignment 3

In this task, we aim to perform a basic Computed Tomography (CT) image reconstruction using the
Filtered Back Projection (FBP) algorithm. We will utilize the sinogram data provided in the file
sinogram.mat, which contains projections from 180 angles. Our reconstruction will employ a Hammingwindowed Ramp filter for better image quality. (35 points)(a) Please implement the Basic global thresholding on flower.tif. (start with T = 0.1). (15 points)
(b) Please implement the Region Splitting and Merging method on nebula.jpg to show the results of
the minimum four-quadrant region size limit of 8*8 and 4*4 respectively. (15 points)
(Hint: Region Splitting and Merging based on the characteristics of mean and standard deviation of gray
level of pixels in an area. Since the background standard deviation of the image is close to 0, and the
average gray level of the nebula is greater than the mean gray level of the dark background, we believe
that:
Q =



T RUE, σ > a and 0 < m < b
F ALSE, otherwiseFor this task, the value of a is set to 0.7, and the value of b is set to 170. For the result image, the area
pixels that satisfy the attribute are set to white, and the other pixels are set to black.)Super pixel is a method that turns a pixel-level picture into district-level pictures, which is an abstraction
of basic information elements. A super pixel is a small area composed of a series of adjacent pixels with
similar characteristics such as color, brightness, and texture. Most of these small areas retain effective
information for further image segmentation, and generally do not destroy the boundary information of
objects in the image.In this problem, you need to turn seahouse.jpg to super pixel style using SLIC algorithm with cluster
center 100, 500 and 1000 (In practice, number of cluster center can be different with these values, but
should be close to these values) show the result images. (35 points)
Reference, doi: 10.1109/TPAMI.2012.120.