Order Statistics filter is established based on the ordering or ranking of pixels
TrueCorrect
False
Periodic functions can be characterized as the integral of sines/cosines multiplied by the weighing function
True
FalseCorrect
Periodic functions can be considered using the sum of the sine/cosine functions of different frequencies, multiplied by a dissimilar coefficient
TrueCorrect
False
Periodic functions may be characterized by the sum of the sine or cosine functions of diverse frequencies, multiplied by a different coefficient
TrueCorrect
False
Point detection is a crucial step in image segmentation
True
FalseCorrect
Research analysts assumes that it is an independent function of spatial coordinates and it is irrelevant to the image
noiseCorrect
image
frequency
dots
Rotation Property is used to spin or turn an object's frequency component values while developing a spatial domain picture
True
FalseCorrect
Scilabis a proprietary software where all the features, data types, and toolboxes are already prepositioned
True
FalseCorrect
Sharpening of a color image using a linear spatial filter is the same as sharpening a gray-scale image
TrueCorrect
False
Since 2003, this software had been maintained and improved by the Scilab consortium and was merged with the Digiteo Foundation way back in July 2008
TrueCorrect
False
Since both the spatial and frequency domain are periodic or intermittent, shifting refers to rotating a component around the limitations
TrueCorrect
False
Template matching technique of combining two pictures captured using a camera that has a restricted capture area
True
FalseCorrect
The actual depth if each color component image is an 8-bit image the color image
16-bit depth
32-bit depth
42-bit depth
24-bit depthCorrect
The actual number of colors in an 8-bit color image
16,777,216 colorsCorrect
15,723,661 colors
32,455,322 colors
19,277,162 colors
The algorithm for image mosaicing can be designed and implemented using a basic image addition process and thresholding
TrueCorrect
False
The contrast thresholding conversion is utilized to increase details of images that are gathered using low illumination conditions, an image sensor with a lower dynamic range, or with wrong camera lens settings
True
FalseCorrect
The corresponding estimate pixel values of the image are then attained by taking the inverse Fourier transform
TrueCorrect
False
The degradation H function is linear and it is invariant which can be modeled as convolution
TrueCorrect
False
The easiest way to approximate noise parameters is from the set of adapted noise from flat environments
True
FalseCorrect
The element which is referred to components which are played a fixed matrix size
structuring element
index element
dimension of elementCorrect
decimal element
The entire objectis divided into subtypes with an object presented in it and each image with this object is compared with the template image using a correlator
True
FalseCorrect
The equation used where the processed pixel must have the same gray level as to the original pixel
S=rCorrect
g(x,y) = P(f(x,y))
S = P(r)
r=S
The filter parameters of periodic noise are assessed in the frequency domain
True
FalseCorrect
The filter's strength may be calculated by calculating the proportion of total power contained inside a circle of radius D0 centered at the frequency plane's origin
TrueCorrect
False
The following are used in classifying signals except _________
Energy
Shapes
Time Intervals
RadiationCorrect
The handling of this signal has a sound history and is of extraordinary importance in different fields as speech communication, biomedical engineering, and military communication
Two-Dimensional signal
Multi-Dimensional Signal
Three-Dimensional signal
One-Dimensional signalCorrect
The inverse discrete Fourier transform is give as
True
FalseCorrect
The Laplacian of Gaussian (LOG) function has two effects on an image: it smoothes the image that is corrupted by noise and it computes the Laplacian, which gives a double-edged image
TrueCorrect
False
The Laplacian of Gaussian (LOG) function have 2 possible effects to an image: either it soften the image having corrupted by noise, or it calculates the Laplacian, which gives a double-edged image
TrueCorrect
False
The low rank approximation property of discrete cosine transform (DCT) is also used for image compression
image compression
image application
image processingCorrect
digital application
The low rank estimation property of discrete cosine transform (DCT) is additionally utilized for image compression
True
FalseCorrect
The mathematical equation of Identity Conversion is S=L-r-1
True
FalseCorrect
The only way to convert the multiplication into addition in homomorphic filtering is by applying a logarithm on both sides
TrueCorrect
False
The outcome is that any sharp transition, for example, edges and boundaries will be replaced with a smooth transition (blurred) This filter is called as the smoothing filter
Low-pass frequency domain filterCorrect
Smooth transition
Unsharp masking
High-pass frequency domain filter
The outcome is that if spatial domain values turn, then the corresponding frequency components rotates or turns
Translation property
Rotation propertyCorrect
Shift property
Scale property
The outcome would be, any blurred in an image will be substituted with a sharp edges
High-pass frequency domain filterCorrect
Low-pass frequency domain filter
Smooth transition
Unsharp masking
The pixel in the picture is covered by any on pixel in the structuring element This is called ______
Component
HitCorrect
Morphology
Fit
The Prewitt edge detector is easier to implement than the Sobel detector but introduces more noise as a result
TrueCorrect
False
The primary field of application used for gamma ray imaging
SIgnal processing
Image processingCorrect
Pixel processing
Binary processing
The procedure wherein the input is the watermarked data itself and the yield is the extracted watermarked data
extraction processCorrect
discrete wavelet transform (DWT)
discrete cosine transform (DCT)
embedding process
The process by which the structuring is arranged by its origin at (x,y) and its new approximation of the pixel is calculated using the rule (x,y)=1 if the value of s fits the value of f
erosion of imageCorrect
corrosion of image
dilation of image
dimension of image
The process of histogram equalization escalates the vigorous range of the image and, hence, progresses the contrast of the image
True
FalseCorrect
The Roberts edge detection method was developed and implemented by Johnny Roberts in 1968
True
FalseCorrect
The role of structuring elements in morphological image processing is the same as the role of convolution kernels in spatial linear filtering
TrueCorrect
False
The rotate property is characterized using the equation: and
TrueCorrect
False
The rotation property extends the frequency component values of an object, which develop in an image in the spatial domain
True
FalseCorrect
The SCILAB function syntax for an RGB color space converted to the YCbCr color space
YCC = ycbcr2rgb(RGB);
YCC=ycbcr2cmyk(CMY)
YCC = rgb2ycbcr(RGB);Correct
YCC = rgb2cmy(CMYK)
The SCILAB function syntax for converting the RGB color space to the CMY color space isCMY = imcomplement(RGB)
TrueCorrect
False
The shifting transform of a real function f(x, y) is commonly characterized by complex values
True
FalseCorrect
The simple data type in Scilab is a matrix and all functions for matrix operations are in-built in Scilab
TrueCorrect
False
The simple morphological processing is the same to spatial filtering
TrueCorrect
False
The simplest edge detector algorithm is the Prewitt edge detector
True
FalseCorrect
The simplest edge detector algorithm, which was proposed and implemented by Lawrence Roberts in 1963
Roberts edge detectorCorrect
Prewitt edge detector
Sobel edge detector
Canny edge detector
The Sobel edge detector detects edges in horizontal, vertical, or both directions in the image
TrueCorrect
False
The standards where unwanted frequency coefficients of images are abandoned and the image is reconstructed using the remaining coefficients with a predefined threshold
template matching
image processing
image compression standardsCorrect
image mosaicking
The thickening procedure is similar to erosion, however it does not result in the loss of object components
True
FalseCorrect
The thickening procedure is used to increase a percentage of an object
TrueCorrect
False
The thresholding procedure serves as the initial step in image enhancement for ease of deployment of image processing applications
TrueCorrect
False
The transfer function of the Gaussian HPF is characterized as
True
FalseCorrect
The type and degree of enhancement acquired to an image depends on the nature of the definite histogram
TrueCorrect
False
The type of images produced by using a gamma-ray
Ultraviolet imaging
Visual imaging
Gamma-ray imagingCorrect
X-ray imaging
The watermarking process is divided into two: the embedding process and the extraction process
TrueCorrect
False
Thedimension of the elements is characterized by a specified matrix size
TrueCorrect
False
There is an inbuilt function 'Canny' edge algorithm in SCILAB and the syntax for this algorithm is given as:
True
FalseCorrect
There is an inbuilt function 'Canny' edge algorithm in SCILAB and the syntax for this algorithm is:
TrueCorrect
False
These are dictated by large changes in the gray level value over a short distance such as noise and edges
High-frequency coefficientCorrect
High-pass average filter
Low-frequency
Low-pass average filter
Thickening can be used in different applications such as industrial part inspection, fingerprint recognition, optical character recognition, and biomedical diagnosis
True
FalseCorrect
This color space is also known as the YIQ color space
CMY color space
YCbCr color space
HSV color space
NTSC color spaceCorrect
This filter is a mixture of an order statistics filter and average filter
mid-point filterCorrect
media filter
min filter
order statistics filter
This filter is primarily called as the sharpening filter
Frequency component
Unsharp masking
High-Pass Frequency Domain FilterCorrect
Low-Pass Frequency Domain Filter
This filter is used to remove salt noise from a noisy picture and to locate dark spots within it It is called _________
Max
Adaptive
MinCorrect
Wiener
This filter offers excellent results compared with other linear smoothing filters when an image is less corrupted due to blurring
mid-point filter
max filter
media filterCorrect
adaptive filter
This filter provides an improved smoothing results than the arithmetic mean filter and provides more detail from the noisy image
geometric mean filterCorrect
harmonic mean filter
arithmetic mean filter
contra harmonic mean filter
This filter works on all kinds of noisy images but does not work on images corrupted by pepper noise
contra harmonic mean filter
arithmetic mean filter
geometric mean filter
harmonic mean filterCorrect
This method is largely utilized television for the correction of video representations using cathode ray tubes (CRTs)