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Digital Image Processing Practice Test 48

# Sampling and Fourier Transform of Sampled Function Multiple Choice Questions (MCQs) PDF Download - 48

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The Sampling and Fourier Transform of Sampled Function MCQ with Answers PDF (Sampling and Fourier Transform of Sampled Function Multiple Choice Questions (MCQs) PDF e-Book) download Ch. 3-48 to prepare Digital Image Processing Practice Tests. Study Filtering in Frequency Domain Test PDF, Sampling and Fourier Transform of Sampled Function Multiple Choice Questions (MCQ Quiz) for associates in computer science. The Sampling and Fourier Transform of Sampled Function MCQ Quiz App Download: Free certification app for sampling and fourier transform of sampled function, fundamentals of image segmentation, image sampling and quantization, point line and edge detection, filtering concepts in dip test prep to study computer engineering courses.

The MCQ Quiz: Any function whose Fourier transform is zero for frequencies outside the finite interval is called; "Sampling & Fourier Transform of Sampled Function" App (Play Store & App Store) with answers: Low pass function; High pass function; Band limited function; Band pass function; for associates in computer science. Practice Filtering in Frequency Domain Questions and Answers, Apple Book to download free sample for information and communication technology.

## Sampling & Fourier Transform of Sampled Function MCQ Quiz with Answers : Test 48

MCQ 236:

Any function whose Fourier transform is zero for frequencies outside the finite interval is called

1. high pass function
2. low pass function
3. band limited function
4. band pass function
MCQ 237:

If the standard deviation of the pixels is positive, then sub image is labeled as

1. black
2. green
3. white
4. red
MCQ 238:

Digitizing the amplitude values is called

2. illuminance
3. sampling
4. quantization
MCQ 239:

Thresholding gives the

1. large image
2. gray scale image
3. color image
4. binary image
MCQ 240:

Fourier transform's domain is

1. frequency domain
2. spatial domain
3. Fourier domain
4. time domain

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