For pixels p(x, y), q(s, t), the Euclidean distance between p and q is defined as:(a) D(p, q) = [(x – s)^2 + (y – t)^2]^1/2(b) D(p, q) = |x – s| + |y – t|(c) D(p, q) = max (|x – s| + |y – t|)(d) None of the mentionedThis question was posed to me in an interview for job.This intriguing question originated from Relationship between Pixels and Image Enhancement Basics topic in chapter Image Enhancement of Digital Image Processing

For pixels p(x, y), q(s, t), the Euclidean distance between p and q is

1.	For pixels p(x, y), q(s, t), the Euclidean distance between p and q is defined as:(a) D(p, q) = [(x – s)^2 + (y – t)^2]^1/2(b) D(p, q) = \|x – s\| + \|y – t\|(c) D(p, q) = max (\|x – s\| + \|y – t\|)(d) None of the mentionedThis question was posed to me in an interview for job.This intriguing question originated from Relationship between Pixels and Image Enhancement Basics topic in chapter Image Enhancement of Digital Image Processing
Answer» Right answer is (a) D(p, q) = [(x – s)^2 + (y – t)^2]^1/2 To ELABORATE: The EUCLIDEAN DISTANCE for pixels p(x, y), q(s, t) is: D(p, q) = [(x – s)^2 + (y – t)^2]^1/2.

Discussion

No Comment Found

Related InterviewSolutions

Applying Laplacian has which of the following result(s)?(a) Produces image having greyish edge lines(b) Produces image having featureless background(c) All of the mentioned(d) None of the mentionedI have been asked this question in an interview for job.The question is from Use of Second Order Derivative for Enhancement topic in division Image Enhancement of Digital Image Processing
The Laplacian incorporated with diagonal directions, i.e.∇^2 f=[f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 8f(x, y)], gives an isotropic result for rotations in increment by what degree?(a) 90^o(b) 0^o(c) 45^o(d) None of the mentionedI have been asked this question by my college professor while I was bunking the class.Query is from Use of Second Order Derivative for Enhancement topic in section Image Enhancement of Digital Image Processing
Which of the following fact is true for the masks that includes diagonal neighbors than the masks that doesn’t?(a) Mask that excludes diagonal neighbors has more sharpness than the masks that doesn’t(b) Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t(c) Both masks have same sharpness result(d) None of the mentionedI got this question during a job interview.I need to ask this question from Laplacian in Frequency Domain topic in portion Image Enhancement of Digital Image Processing
Why is scaling of Laplacian filtered images necessary?(a) Because it contain high positive values(b) Because it contain high negative value(c) Because it contain both positive and negative values(d) None of the mentionedI had been asked this question in my homework.The above asked question is from Laplacian in Frequency Domain in division Image Enhancement of Digital Image Processing
An enhanced image can be obtained as: g(x,y)=f(x,y)-∇^2 f(x,y), where Laplacian is being subtracted from f(x, y) the input image of size M*Non which an operation f(x, y)(-1)x+yis applied.Unlike enhancing in spatial domain with one single mask, it is possible to perform the same in frequency domain using one filter. Which of the following is/are the required filter(s)?(a) H(u, v)= -[1 + u^2+ v^2].(b) H(u, v)= -[(u – M/2)2+ (v– N/2)2].(c) H(u, v)= [1 + (u – M/2)2+ (v – N/2)2].(d) All of the mentionedI got this question in exam.Origin of the question is Laplacian in Frequency Domain in portion Image Enhancement of Digital Image Processing
Computing the Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v), Fourier transformed function of f(x, y) an input image, and H(u, v), the filter used for implementing Laplacian in frequency domain. This dual relationship is expressed as _________(a) Fourier transform pair notation(b) Laplacian(c) Gradient(d) None of the mentionedThis question was addressed to me during an interview.Asked question is from Laplacian in Frequency Domain topic in chapter Image Enhancement of Digital Image Processing
An enhanced image can be obtained as: g(x,y)=f(x,y)-∇^2 f(x,y), where Laplacian is being subtracted from f(x, y) the input image. What does this conclude?(a) That the center spike would be negative(b) That the immediate neighbors of center spike would be positive.(c) All of the mentioned(d) None of the mentionedThe question was posed to me by my college professor while I was bunking the class.I need to ask this question from Laplacian in Frequency Domain in section Image Enhancement of Digital Image Processing
Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, then which of the following is an expression for H(u, v), the filter used for implementing Laplacian in frequency domain?(a) H(u, v)= -(u^2+ v^2)(b) H(u, v)= -(u^2– v^2)(c) H(u, v)= -[(u – M/2)^2+ (v – N/2)^2].(d) H(u, v)= -[(u – M/2)^2– (v – N/2)^2].This question was posed to me in an interview for internship.My doubt is from Laplacian in Frequency Domain in division Image Enhancement of Digital Image Processing
Computing the Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v), Fourier transformed function of f(x, y) an input image of size M*N, and H(u, v), the filter used for implementing Laplacian in frequency domain. This dual relationship is expressed as Fourier transform pair notation given by_____________(a) ∇^2 f(x,y)↔[(u –M/2)^2+ (v –N/2)^2]F(u,v)(b) ∇^2 f(x,y)↔-[(u+M/2)^2– (v+N/2)^2]F(u,v)(c) ∇^2 f(x,y)↔-[(u –M/2)^2+ (v –N/2)^2]F(u,v)(d) ∇^2 f(x,y)↔[(u+M/2)^2– (v+N/2)^2]F(u,v)This question was posed to me by my school principal while I was bunking the class.The origin of the question is Laplacian in Frequency Domain topic in section Image Enhancement of Digital Image Processing
Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, where does the point (u, v) =(0,0) shifts?(a) (M -1, N -1)(b) (M/2, N/2)(c) (M+1, N+1)(d) (0, 0)I had been asked this question during an online exam.Question is taken from Laplacian in Frequency Domain in chapter Image Enhancement of Digital Image Processing

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment