The histogram of a digital image with gray levels in the range [0, L-1] is represented by a discrete function:(a) h(r_k)=n_k(b) h(r_k )=n/n_k(c) p(r_k )=n_k(d) h(r_k )=n_k/nI had been asked this question by my school principal while I was bunking the class.I would like to ask this question from Histogram Processing in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing

The histogram of a digital image with gray levels in the range [0, L-1

1.	The histogram of a digital image with gray levels in the range [0, L-1] is represented by a discrete function:(a) h(r_k)=n_k(b) h(r_k )=n/n_k(c) p(r_k )=n_k(d) h(r_k )=n_k/nI had been asked this question by my school principal while I was bunking the class.I would like to ask this question from Histogram Processing in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Right choice is (a) H(r_k)=n_k Easiest explanation: The histogram of a digital image with gray LEVELS in the RANGE [0, L-1] is a discrete FUNCTION h(RK )=nk, where rk is the kth gray level and nkis the number of pixels in the image having gray level rk.

Discussion

No Comment Found

Related InterviewSolutions

State the statement true or false: “BLPF has sharp discontinuity and ILPF doesn’t, and so ILPF establishes a clear cutoff b/w passed and filtered frequencies”.(a) True(b) FalseI have been asked this question by my college professor while I was bunking the class.I'd like to ask this question from Smoothing Frequency-Domain Filters topic in portion Intensity Transformations and Spatial Filtering of Digital Image Processing
A Butterworth filter of what order has no ringing?(a) 1(b) 2(c) 3(d) 4The question was posed to me in quiz.This question is from Smoothing Frequency-Domain Filters topic in division Intensity Transformations and Spatial Filtering of Digital Image Processing
Which of the following method is/are used for padding the image?(a) Adding rows and column of 0 or other constant gray level(b) Simply replicating the rows or columns(c) All of the mentioned(d) None of the mentionedThis question was addressed to me during an internship interview.My enquiry is from Spatial Filtering topic in section Intensity Transformations and Spatial Filtering of Digital Image Processing
In neighborhood operation for spatial filtering using square mask of n*n, which of the following approach is/are used to obtain a perfectly filtered result irrespective of the size?(a) By padding the image(b) By filtering all the pixels only with the mask section that is fully contained in the image(c) By ensuring that center of mask must be at a distance ≥ (n – 1)/2 pixels from border of image(d) None of the mentionedI had been asked this question in exam.I'm obligated to ask this question of Spatial Filtering in division Intensity Transformations and Spatial Filtering of Digital Image Processing
Which of the following helps to obtain the number of bits to be used to quantize each pixel.(a) Gray-level slicing(b) Contrast stretching(c) Contouring(d) Bit-plane slicingThis question was posed to me during a job interview.My question is from Piecewise-Linear Transformation Functions in section Intensity Transformations and Spatial Filtering of Digital Image Processing
In bit-plane slicing if an image is represented by 8 bits and is composed of eight 1-bit plane, with plane 0 showing least significant bit and plane 7 showing most significant bit. Then, which plane(s) contain the majority of visually significant data.(a) Plane 4, 5, 6, 7(b) Plane 0, 1, 2, 3(c) Plane 0(d) Plane 2, 3, 4, 5I got this question in my homework.I'd like to ask this question from Piecewise-Linear Transformation Functions topic in portion Intensity Transformations and Spatial Filtering of Digital Image Processing
Which of the following transform produces a binary image after processing?(a) Contrast stretching(b) Gray-level slicing(c) All of the mentioned(d) None of the mentionedThis question was addressed to me during a job interview.My doubt stems from Piecewise-Linear Transformation Functions in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
What is/are the approach(s) of the gray-level slicing?(a) To give all gray level of a specific range high value and a low value to all other gray levels(b) To brighten the pixels gray-value of interest and preserve the background(c) All of the mentioned(d) None of the mentionedI had been asked this question in a national level competition.This interesting question is from Piecewise-Linear Transformation Functions in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Specific bit contribution in the image highlighting is the basic idea of __________(a) Contrast stretching(b) Bit –plane slicing(c) Thresholding(d) Gray-level slicingI had been asked this question during a job interview.I need to ask this question from Piecewise-Linear Transformation Functions topic in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
A specific range of gray-levels highlighting is the basic idea of __________(a) Contrast stretching(b) Bit –plane slicing(c) Thresholding(d) Gray-level slicingThe question was posed to me during an interview for a job.My query is from Piecewise-Linear Transformation Functions topic in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment