Digital Image Processing Questions and Answers – Histogram Processing – 1

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Histogram Processing – 1”. 1. What is the basis for numerous spatial domain processing techniques? a) Transformations b) Scaling c) Histogram d) None of the Mentioned 2. In _______ image we notice that the components of histogram are concentrated on the … Read more

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Digital Image Processing Questions And Answers – Histogram Processing – 2

This set of Digital Image Processing Interview Questions and Answers for freshers focuses on “Histogram Processing – 2”. 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/n 2. How is the expression … Read more

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Digital Image Processing Questions and Answers – Fundamentals of Spatial Filtering

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Fundamentals of Spatial Filtering”. 1. What is accepting or rejecting certain frequency components called as? a) Filtering b) Eliminating c) Slicing d) None of the Mentioned 2. A filter that passes low frequencies is _____________ a) Band pass filter b) High … Read more

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Digital Image Processing Questions and Answers – Combining Spatial Enhancements Methods

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Combining Spatial Enhancements Methods”. 1. Which of the following make an image difficult to enhance? a) Narrow range of intensity levels b) Dynamic range of intensity levels c) High noise d) All of the mentioned 2. Which of the following is … Read more

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Digital Image Processing Questions and Answers – Sharpening Spatial Filters – 3

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Sharpening Spatial Filters – 3”. 1. The principle objective of Sharpening, to highlight transitions is ________ a) Pixel density b) Composure c) Intensity d) Brightness 2. How can Sharpening be achieved? a) Pixel averaging b) Slicing c) Correlation d) None of … Read more

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Digital Image Processing Questions and Answers – Sharpening Spatial Filters-2

This set of Digital Image Processing Questions and Answers for Freshers focuses on “Sharpening Spatial Filters-2”. 1. The objective of sharpening spatial filters is/are to ___________ a) Highlight fine detail in an image b) Enhance detail that has been blurred because of some error c) Enhance detail that has been blurred because of some natural … Read more

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Digital Image Processing Questions And Answers – Sharpening Spatial Filters

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Sharpening Spatial Filters”. 1. Which of the following is the primary objective of sharpening of an image? a) Blurring the image b) Highlight fine details in the image c) Increase the brightness of the image d) Decrease the brightness of the … Read more

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Digital Image Processing Questions And Answers – Basic Intensity Transformation Functions

This set of Digital Image Processing Interview Questions and Answers focuses on “Basic Intensity Transformation Functions”. 1. Which of the following expression is used to denote spatial domain process? a) g(x,y)=T[f(x,y)] b) f(x+y)=T[g(x+y)] c) g(xy)=T[f(xy)] d) g(x-y)=T[f(x-y)] 2. Which of the following shows three basic types of functions used frequently for image enhancement? a) Linear, … Read more

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Digital Image Processing Questions And Answers – Smoothing Spatial Filters

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Smoothing Spatial Filters”. 1. Noise reduction is obtained by blurring the image using smoothing filter. a) True b) False 2. What is the output of a smoothing, linear spatial filter? a) Median of pixels b) Maximum of pixels c) Minimum of … Read more

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Digital Image Processing Questions And Answers – Basic Relationships between Pixels

This set of Digital Image Processing Multiple Choice Questions & Answers (MCQs) focuses on “Basic Relationships between Pixels”. 1. A pixel p (x, y) has two vertical neighbors and two horizontal neighbors. The neighbors of (x, y) are _____________ a) (x+1, y+1), (x-1, y-1), (x+1, y-1), (x-1, y+1) b) (x+1, y), (x-1, y+1), (x-1, y-1), … Read more

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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