Bit plane refers to the inversion of the gray level, like, the white value pixel in the original image will now become the black value pixel in the processed image and/ or vice versa
True
FalseCorrect
Bit plane slicing is a kind of image processing is primarily utilized in image compression and image watermarking
TrueCorrect
False
Can be characterized using a sequence of binary images by slicing it into different bit-planes
Binary image
Bit plane image
Gray-scale imageCorrect
Processed image
Canny Edge Detector is known as the simplest edge detector algorithm
True
FalseCorrect
CMYK is a group of color pixels having the size of M x N x 3, wherein every color pixel is a tri-combination of the red, green, and blue color of a color image
TrueCorrect
False
Colorimages can be converted into any of the color spaces using SCILAB
TrueCorrect
False
Contrast stretching is an example of ____________
Picture Deterioration
Picture EnhancementCorrect
Image Transmission
Image Restoration
Convolution process decreases one degraded pixel in an image at a time to progress a restoration algorithm for each possible degraded pixel and combines the results of each process
True
FalseCorrect
D_0 is a cut-off frequency in an ideal LPF which determines non-negative distance
True
FalseCorrect
Deconvolution process refers to the process of restoration wherein the degradation function is linear and invariant
TrueCorrect
False
Deterministic signal alludes to a specific signal if for every value of the said signal is characterized
TrueCorrect
False
Digital watermarking is utilized to identify individuals and other difficulties that the user can encounter on a regular basis
True
FalseCorrect
Dilation refers to the structuring element that is located within its origin at (x, y)
TrueCorrect
False
Dilation widens black and shrinks white objects
True
FalseCorrect
Dilationmay remove extrusions from white items and correct incursions in black objects
True
FalseCorrect
Empowers high-frequency elements to pass and low-frequency elements are weakened
high-pass frequency domain filterCorrect
gausian LPF
butterworth HPF
low-pass frequency domain filter
Erosion can fix breaks in black objects and can split apart white objects
TrueCorrect
False
Erosionand dilation are the two most essential operations in Digital Image Processing
True
FalseCorrect
Every time it is signified in terms of the collection of pixels, object is said to be in the spatial domain
TrueCorrect
False
Fits and Hits are the two most important morphological processes
True
FalseCorrect
Foer an RGB color space, the SCILAB function syntax changes over into the HSV color space and HSV to RGB are as per the following: HSV = hsv2rgb(RGB) and RGB = rgb2hsv (HSV)
True
FalseCorrect
Fourier domain is more economical and a strong alternative to linear spatial filtering
True
FalseCorrect
Fourier transform allows us to make tasks which could be terrible to perform but its efficiency allows us to perform other tasks more quickly
TrueCorrect
False
Functional elements refers to elements that are essentially tiny binary images having a value of 0 or 1 Structuring elements
True
FalseCorrect
Gaussian LPF's inverse FFT is also Gaussian
TrueCorrect
False
Gaussian noise is a special case of Erlang/gamma noise with b = 1
True
FalseCorrect
Geometric mean filter provides an enhanced smoothing results compare to the arithmetic mean filter and it also provides more detail from the noisy image
TrueCorrect
False
Gray level slicing without background is a strategy where a high value is assigned to the pixels with gray levels in the range of interest and a low value is allotted to the other pixels
TrueCorrect
False
Handles a primary key role in navigation, identification, verification, gait, gesture, posture, communication, and in psychological interpretation
Human Respiratory System
Human Audio System
Human Digestive System
Human Visual SystemCorrect
High-frequency emphasis is similar to the unsharp masking
TrueCorrect
False
High-Pass filter is the upgraded version of the Order Statistic Filter that is used to enhance the edges while retaining the background
True
FalseCorrect
Ideal Low-Pass Filter was the most well-known ideal filter mainly because it provides a piercing cut-off
TrueCorrect
False
If a signal has been repeated in some time interval, they are known as deterministic signals; else it is called as a random signal
True
FalseCorrect
Image degradation changes over bitmap data into improved structured data that are simpler to interpret
True
FalseCorrect
Image degradation is planned to work on an image in order to obtain benefit from the psychophysical facets of human visual system (HVS)
True
FalseCorrect
Image degradation reduces a large amount of needless data, living only those important data for image analysis
True
FalseCorrect
Image mosaicking is generally used in industry to search for defects in products, for product packaging, and for object identification
TrueCorrect
False
Image processing is the procedure of extraction of critical information from the signal
True
FalseCorrect
Image restoration is focused on towards modeling the degradation and implementing the inverse process in order to reconstruct an original image
TrueCorrect
False
Imagecompression is used to separate an image into constituent parts based on someimage attributes
True
FalseCorrect
Images captured by means of an acquisition process does not possess exactly the same information as original object, as image incurred some degradation in acquisition process
TrueCorrect
False
Impartial process is also known as ______
Image Degradation
Image Transmission
Image Enhancement
Image RestorationCorrect
Impulse noise shows in an image during its completion thru the use of electrical or electromechanical tools
True
FalseCorrect
In Canny edge detector, sigma is an aperture parameter for the Sobel operator having the default value equal to 3
TrueCorrect
False
In frequency domain filtering, the operation of the image is completed by convolving the original image with a filtering mask
True
FalseCorrect
In histogram stretching, the main idea is to level all values of the histogram so that the entire gray level range from 0 to L - 1 is covered
True
FalseCorrect
In Ideal Low-Pass Filter, the strength of the filter can be determined by computing the percentage of the total power contained inside the circle of the radius of D0 centered at the origin of the frequency plane
TrueCorrect
False
In identity conversion, the processed pixel must have the same gray level as to the original pixel
TrueCorrect
False
In Low-Pass Frequency Domain Filter, boundaries and edges are substituted with smooth transitions
TrueCorrect
False
In Miss procedure, the structuring element is moved across every pixel in the original image to give a new pixel value for the processed image
True
FalseCorrect
In NTSC color space system, a color image has three components: luminance (Y), hue (I), and saturation (Q)
TrueCorrect
False
In the application of image template matching, two areas of an institute are acquired and one image is generated showing details from both images
True
FalseCorrect
In the CMYKcolor image, any pixel has a combination of three colors (red, green, and blue)
True
FalseCorrect
In the conversion of an RGB images into other spaces, the inbuilt functions are available for conversion of a color image into any spaces and vice versa
TrueCorrect
False
In the electrical system, current and voltage are represented as signals and called electrical signals
TrueCorrect
False
In thresholding, if the value of threshold is constant it is known global thresholding
TrueCorrect
False
In what year does the Roberts edge detector proposed and implemented?
1964
1965
1960
1963Correct
In-built high-level programming in Scilab is interpreted automatically
TrueCorrect
False
Inbuilt function RGB special is used to define any image filter with a specific value
True
FalseCorrect
Is a process where an image might be reverted to its original form by its degraded state
image enhancement
image degradation
image restorationCorrect
image convolution
Is an exceptional compressing function and is therefore in log conversion
Log operatorCorrect
Log file
Log machinist
Log operative
Is there a command to record all commands that you type and save them to a file so thatyou can see them later?
Type help log
Type help diaryCorrect
Type help record
Type help history
It actually refers to the occurrence of image enhancement
noise stretching
contrast stretchingCorrect
contact stretching
human visual system
It alludes to pixels of object wherein its neighbor pixels have a value of 0 bits at least
dotted pixel
borderline pixelCorrect
endpoint pixel
marginal line pixel
It alludes to the classification of image degradation which typically happens due to blurring
noise degradation
spatial degradationCorrect
point degradation
full degradation
It alludes to the moment when the process of extracting objects from the background is to choose a threshold
background point
end-point
mid-point
starting pointCorrect
It alludes to the quantity of light reflected from a specific point
illumination component
reflectance componentCorrect
domain component
frequency component
It alludes to the reversal of the gray level, for example, the black value pixel from the original image will turn into white value pixel in the processed image and/ or the other way around
Log conversion
Gray level conversion
Identity conversion
Image negative conversionCorrect
It also allows us to isolate and process image "frequencies", and to perform low-pass and high-pass filtering with a higher degree of precision
Fourier transformCorrect
Periodic function
Spatial domain filtering
Image enhancement
It appears in an image during its attainment using electrical or electromechanical tools
image noise
periodic noiseCorrect
estimation of noise
approximate noise
It broadens the frequency component values of an object, which is created in an image within the spatial domain
Rotation propertyCorrect
Translation property
Shift property
Scale property
It can be characterized as the integral of sines/cosines multiplied by the weighing function
Periodic function
Non-periodic functionCorrect
Spatial domain filtering
Image enhancement
It can be detected in a horizontal, vertical, +45°, and -45°direction
images
objects
dots
linesCorrect
It changes over bitmap data into a more structured data that are simpler to interpret
image segmentationCorrect
image derivative
image detection
image degradation
It characterizes different image processing procedures which manages the state of features in an image