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201.	Median filters are effective in the presence of impulse noise.(a) True(b) FalseI have been asked this question in an international level competition.I would like to ask this question from Smoothing Spatial Filters in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Right choice is (a) True The explanation: Median filters are USED to remove impulse noises, ALSO called as salt-and-pepper NOISE because of its APPEARANCE as white and black dots in the image.

202.	Median filter belongs to which category of filters?(a) Linear spatial filter(b) Frequency domain filter(c) Order static filter(d) Sharpening filterThe question was asked in examination.This interesting question is from Smoothing Spatial Filters in portion Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» The correct choice is (c) Order STATIC FILTER For EXPLANATION: The median filter belongs to order static filters, which, as the name implies, replaces the value of the PIXEL by the median of the gray levels that are present in the neighbourhood of the pixels.

203.	Which of the following filters response is based on ranking of pixels?(a) Nonlinear smoothing filters(b) Linear smoothing filters(c) Sharpening filters(d) Geometric mean filterThe question was asked in a national level competition.Question is from Smoothing Spatial Filters in section Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Right choice is (a) Nonlinear smoothing filters The explanation: Order static filters are nonlinear smoothing SPATIAL filters whose response is based on the ORDERING or ranking the PIXELS CONTAINED in the image area encompassed by the filter, and then replacing the value of the central pixel with the value determined by the ranking result.

204.	If the size of the averaging filter used to smooth the original image to first image is 9, then what would be the size of the averaging filter used in smoothing the same original picture to second in second image?(a) 3(b) 5(c) 9(d) 15This question was posed to me in examination.I'm obligated to ask this question of Smoothing Spatial Filters in division Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Correct CHOICE is (d) 15 The best I can explain: We know that, as the size of the filter USED in smoothening the original image that is AVERAGING filter increases then the BLURRING of the image. Since the SECOND image is more blurred than the first image, the window size should be more than 9.

205.	Which of the following comes under the application of image blurring?(a) Object detection(b) Gross representation(c) Object motion(d) Image segmentationThe question was posed to me in a national level competition.The above asked question is from Smoothing Spatial Filters in division Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Right answer is (b) Gross representation The explanation is: An important application of SPATIAL averaging is to blur an image for the PURPOSE of getting a gross representation of interested objects, such that the intensity of the SMALL objects blends with the background and large objects become easy to detect.c

206.	The mask shown in the figure below belongs to which type of filter?(a) Sharpening spatial filter(b) Median filter(c) Smoothing spatial filter(d) Sharpening frequency filterI have been asked this question by my school principal while I was bunking the class.This key question is from Smoothing Spatial Filters topic in section Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» The correct option is (c) Smoothing spatial FILTER The best EXPLANATION: The mask shown in the FIGURE represents a 3×3 smoothing filter. Use of this filter yields the standard AVERAGE of the PIXELS under the mask.

207.	Box filter is a type of smoothing filter.(a) True(b) FalseI got this question in my homework.Question is taken from Smoothing Spatial Filters topic in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» RIGHT answer is (a) True The best I can EXPLAIN: A spatial averaging filter or spatial smoothening filter in which all the coefficients are EQUAL is also called as box filter.

208.	Smoothing spatial filters doesn’t smooth the false contours.(a) True(b) FalseI have been asked this question in homework.My question is based upon Smoothing Spatial Filters topic in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Right choice is (B) FALSE Explanation: One of the application of smoothing spatial filters is that, they help in smoothing the false CONTOURS that result from using an insufficient NUMBER of GRAY levels.

209.	Which of the following in an image can be removed by using smoothing filter?(a) Smooth transitions of gray levels(b) Smooth transitions of brightness levels(c) Sharp transitions of gray levels(d) Sharp transitions of brightness levelsI have been asked this question during an interview.Asked question is from Smoothing Spatial Filters in section Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» The correct option is (c) Sharp transitions of gray LEVELS For explanation: Smoothing FILTER replaces the value of EVERY pixel in an image by the AVERAGE value of the gray levels. So, this helps in REMOVING the sharp transitions in the gray levels between the pixels. This is done because, random noise typically consists of sharp transitions in gray levels.

210.	Which of the following is the disadvantage of using smoothing filter?(a) Blur edges(b) Blur inner pixels(c) Remove sharp transitions(d) Sharp edgesThe question was posed to me in an international level competition.My query is from Smoothing Spatial Filters topic in portion Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» The correct option is (a) Blur edges Explanation: Edges, which almost always are DESIRABLE FEATURES of an image, ALSO are characterized by sharp transitions in gray level. So, AVERAGING filters have an UNDESIRABLE side effect that they blur these edges.

211.	Smoothing linear filter is also known as median filter.(a) True(b) FalseI have been asked this question in my homework.I want to ask this question from Smoothing Spatial Filters in division Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Correct answer is (b) False The EXPLANATION is: Since the SMOOTHING spatial filter performs the AVERAGE of the pixels, it is also CALLED as averaging filter.

212.	What is the output of a smoothing, linear spatial filter?(a) Median of pixels(b) Maximum of pixels(c) Minimum of pixels(d) Average of pixelsI got this question during an online interview.This interesting question is from Smoothing Spatial Filters in chapter Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» CORRECT choice is (d) Average of PIXELS For explanation I would say: The output or RESPONSE of a smoothing, linear spatial FILTER is SIMPLY the average of the pixels contained in the neighbourhood of the filter mask.

213.	Noise reduction is obtained by blurring the image using smoothing filter.(a) True(b) FalseThe question was asked during an online interview.The doubt is from Smoothing Spatial Filters in section Intensity Transformations and Spatial Filtering of Digital Image Processing
Answer» Correct OPTION is (a) True The explanation is: Noise reduction is obtained by blurring the image using smoothing FILTER. Blurring is used in pre-processing steps, such as removal of small DETAILS from an image prior to object EXTRACTION and, bridging of small gaps in lines or curves.

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