1. Which of the following fact is true for an image? A. An image is the addition of illumination and reflectance component B. An image is the subtraction of illumination component from reflectance component C. An image is the subtraction of the reflectance component from the illumination component D. An image is the multiplication of …
1. In frequency domain terminology, which of the following is defined as “obtaining a highpass filtered image by subtracting from the given image a lowpass filtered version of itself”? A. Emphasis filtering B. Unsharp masking C. Butterworth filtering D. None of the mentioned 2. Which of the following is/ are a generalized form of …
1. In frequency domain terminology, which of the following is defined as “obtaining a highpass filtered image by subtracting from the given image a lowpass filtered version of itself”? A. Emphasis filtering B. Unsharp masking C. Butterworth filtering D. None of the mentioned 2. Which of the following is/ are a generalized form of …
1. In frequency domain terminology, which of the following is defined as “obtaining a highpass filtered image by subtracting from the given image a lowpass filtered version of itself”? A. Emphasis filtering B. Unsharp masking C. Butterworth filtering D. None of the mentioned 2. Which of the following is/ are a generalized form of …
Unsharp Masking MCQ [Free PDF] – Objective Question Answer for Unsharp Masking Quiz Read More »
1. Smoothing in the frequency domain is achieved by attenuating which of the following component in the transformation of a given image? A. Attenuating a range of high-frequency components B. Attenuating a range of low-frequency components C. All of the mentioned D. None of the mentioned 2. Which of the following is/are considered as …
1. Which of the following fact(s) is/are true for the relationship between the low-frequency component of Fourier transform and the rate of change of gray levels? A. Moving away from the origin of transform the low frequency corresponds to smooth gray level variation B. Moving away from the origin of transformation the low frequencies correspond …
1. In neighborhood operations working is being done with the value of the image pixel in the neighborhood and the corresponding value of a sub-image that has the same dimension as the neighborhood. The sub-image is referred as _________ A. Filter B. Mask C. Template D. All of the mentioned 2. The response for …
Spatial Filtering MCQ [Free PDF] – Objective Question Answer for Spatial Filtering Quiz Read More »
1. Which of the following filter(s) has the response in which the central pixel value is replaced by a value defined by ranking the pixel in the image encompassed by the filter? A. Order-Statistic filters B. Non-linear spatial filters C. Median filter D. All of the mentioned 2. Is it true or false that …
1. Smoothing filter is used for which of the following work(s)? A. Blurring B. Noise reduction C. All of the mentioned D. None of the mentioned 2. The response of the smoothing linear spatial filter is/are __________ A. Sum of image pixels in the neighborhood filter mask B. Difference of image in the neighborhood …
1. The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighborhood of the filter mask. A. Sum B. Product C. Average D. Dot Product 2. Averaging filters is also known as ____________ filter. A. Low pass B. High pass C. Bandpass D. None of the Mentioned …
