ECE 515: HW9
Prof. Jezekiel Ben-Arie
1. Design a network that solves the XOR problem. It has an output of +1 for X a
T
T
T
T
=(1,0), X b = (0,1) and 0 output for X c =(0,0), X d =(1,1).
2. What changes are necessary in the network of problem 1 if one want
HW 6: ECE 515 Image Analysis and Machine Vision II
Prof. Jezekiel Ben-Arie
1. Show that Eq. (1) and Eq. (2) perform the same function.
D j ( x) = x m j , j = 1,2,., M
(1)
1
d j ( x) = x T m j m T m j
j
2
(2)
2. Show that the surface given Eq. (3) is the p
ECE 515 Image Analysis II HW #5: Prof. J. Ben-Arie
1) Compute two-dimensional masks of Laplacian of Gaussian (Mexican hat) of size 9x9,
7x7 and 5x5. Use a for the Gaussians such that 6 fits in the mask.
(a) Print the mask values.
(b) Convolve these masks
Hough transform
The Hough transform is a feature extraction technique used in image analysis, computer vision,
and digital image processing.
The purpose of the technique is to find imperfect instances of objects within a certain class of
shapes by a votin
ECE 515 Image Analysis II HW #4: Prof. J. Ben-Arie
1. Generate a binary image of the shape in Fig. 1. Pixels which are entirely in the shape
are considered as 1, pixels on the boundary should have values between 0 and 1
proportional to their area within t