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Worksheetsint345
Total questions: 105
Worksheet time: 1hrs 13mins
Computer vision is concerned with modeling and replicating human vision using computer software and hardware.
True
False
Can't be true or false
May be both true and false
2. Computer vision is a discipline that studies how to reconstruct, interrupt and understand a 3d scene from its ________.
1D Image
2 D Image
3 D Image
All these type of Image
3. The input and output of image processing are?
Signal and Image
Signal Only
Image Only
Neither Image nor signal
4. Which of the following is an Applications of Computer Vision?
Robotics
Medicine
Security
Industrial Automation
5. Low-level vision includes process image for feature extraction.
Yes
No
Neither Yes nor NO
Can't say
6. Pixel is an _________.
element of analog image
element of digital image
cluster of analog image
cluster of digital image
7. Color attribute that describes pure color
Hue
Saturation
Intensity
None of these
8. Number of gray scale values that are possible with 8 bit code is _____.
32 shades
16 shades
64 shades
256 shades
9. The quality of an image is dependent on ___________.
Resolution of the screen
Quality of Camera with which image was captured
Color Depth
Interlacing
10. In mean filter, the value of the current pixel is replaced with
mean value of pixels of the image
mean value of neighbours
mean value of the neighbours and current pixel
None of the above
What is the smallest unit of an image?
1 sq. mm
DPI
Pixel
Point
Which of the following combination of colors can be used to represent almost any color in electronic systems?
Yellow-Red-Green
Blue-White-Green
Red-Yellow-White
Green-Red-Blue
A translation is applied to an object by
Enlarging the object
Shrinking the object
Repositioning it along with straight line path
Repositioning it along with circular path
The two-dimensional translation equation in the matrix form is
P’=P+T
P’=P-T
P’=P*T
P’=p
The axis that is perpendicular to the xy plane and passes through the pivot point is known as
Translation
Rotation
Scaling
Shearing
In controllable interaction user can change the attributes of the ____________.
Images
Widgets
Videos
Audios
If the direction of the projection is normal then it is called as __________
Perspective Projection
Orthographic parallel projection
Oblique parallel projection
Ortho-Oblique Projection
A _______ can be recorded using a normal light source
Holograph
Sonograph
Holography
Photograph
The translation distances (dx, dy) is called as
Augmented vector
Shift vector
Shear vector
Scaling vector
In 2D-translation, a point (x, y) can move to the new position (x’, y’) by using which of the following equation
x’=x+dx and y’=y+dx
x’=x+dx and y’=y+dy
X’=x+dy and Y’=y+dx
X’=x-dx and y’=y-dy
To generate a rotation, we must specify
Distances dx and dy
Rotation angle ϴ
Rotation distance
Plane of the object
Which transformation distorts the shape of an object such that the transformed shape appears as if the object were composed of internal layers that had been caused to slide over each other?
Rotation
Scaling up
Scaling down
Shearing
Which of the following is defined as the process of elimination of parts of a scene outside a window or a viewport?
clipping
cutting
plucking
editing
Which of the following operations can be used to zoom in or out around any axis on a three-dimensional object from its original position?
Rotation
Shearing
Scaling
Translation
If the scaling factors values sx and sy < 1 then
It reduces the size of the object
It increases the size of the object
It stunts the shape of the object
It produces mirror image of the object
Which of the following transformations preserves angles and distances?
a) Scaling
b) Translation
c) Rigid transformation
d) Scaled Rotation
What is the purpose of homogeneous coordinates in geometric transformations?
a) To handle rotations only
b) To simplify matrix calculations
c) To represent in higher dimensions
d) To eliminate the need for coordinate systems
Which of these is a point operation in image processing?
a) Edge detection
b) Convolution
c) Histogram equalization
d) Fourier transform
Gamma correction is used to:
a) Enhance edge details
b) Adjust brightness using a non-linear curve
c) Blur an image
d) Transform an image to the frequency domain
What is the kernel size in a linear filter?
a) The number of channels in the image
b) The size of the filter matrix applied to the image
c) The resolution of the image
d) The frequency of the filter
Which of the following is not a linear filter?
a) Gaussian filter
b) Median filter
c) Box filter
d) Sobel filter
Which operation replaces a pixel value with the median of its neighborhood?
a) Mean filter
b) Median filter
c) Sobel operator
d) Laplacian filter
Which of the following is not a feature of a digital image?
Resolution
Size
Color
Brightness
Which of the following is not a common type of image noise?
Gaussian noise
Salt and pepper noise
Poisson noise
Magnetic noise
Which of the following techniques can be used for image segmentation?
K-means clustering
Mean shift clustering
Gaussian mixture modeling
All of the above
Which of the following is not a common image enhancement technique?
Gamma correction
Histogram equalization
Fourier transform
Contrast stretching
Which of the following is not a common method of image segmentation based on clustering?
K-means clustering
Fuzzy C-means clustering
Mean-shift clustering
Hierarchical clustering
3. The input and output of image processing are?
Signal and Image
Signal Only
Image Only
Neither Image nor signal
4. Which of the following is an Applications of Computer Vision?
Robotics
Medicine
Security
Industrial Automation
8. Number of gray scale values that are possible with 8 bit code is _____.
32 shades
16 shades
64 shades
256 shades
9. The quality of an image is dependent on ___________.
Resolution of the screen
Quality of Camera with which image was captured
Color Depth
Interlacing
10. In mean filter, the value of the current pixel is replaced with
mean value of pixels of the image
mean value of neighbours
mean value of the neighbours and current pixel
None of the above
The two-dimensional translation equation in the matrix form is
P’=P+T
P’=P-T
P’=P*T
P’=p
The axis that is perpendicular to the xy plane and passes through the pivot point is known as
Translation
Rotation
Scaling
Shearing
Which of the following operations can be used to zoom in or out around any axis on a three-dimensional object from its original position?
Rotation
Shearing
Scaling
Translation
If the scaling factors values sx and sy < 1 then
It reduces the size of the object
It increases the size of the object
It stunts the shape of the object
It produces mirror image of the object
(255,0,0) represents which of the following colour?
Black
Blue
Green
Red
Based on the chest image, what is the effect if you observe when a filter with a larger size, e.g. a 5 x 5 filters, is used? Choose ALL that apply.
The image will be further blurred.
The distance or gap between the bones will most probably become imperceptible.
The image will become clearer.
The bone and skeletal edges will be sharpened.
The digitization process, in which the digital image comprises M rows and N columns, necessitates choices for M, N, and the number of grey levels per pixel, L. M and N must have which of the following values?
a) M have to be positive and N have to be negative integerr
b) M have to be negative and N have to be positive integer
c) M and N have to be negative integer
d) M and N have to be positive integer
Which of the following statement describe the term pixel depth?
It is the number of units used to represent each pixel in RGB space
It is the number of mm used to represent each pixel in RGB space
It is the number of bytes used to represent each pixel in RGB space
It is the number of bits used to represent each pixel in RGB space
•Histogram Equalization is a process in which
a) a histogram is created
b) the contrast of an image is adjusted by using its histogram.
c) An equal size histogram for an image is created.
d) the pixel values are increased.
•convolution is the process of
a. Summing up the neighborhood pixel values
b. Increasing the intensity value
c. Calculating the average of the pixel values.
d. moving a filter mask over the image and computing the sum of products at each location
----------------is the principal factor, which helps in determining an image’s spatial resolution.
Dynamic range
Quantization
Sampling
Contrast
A. The mask shown in the figure below belongs to which type of filter?
Sharpening spatial filter
Median filter
Sharpening frequency filter
Smoothing spatial filter
You have trained a computer vision model to recognize pictures of cats. It works very well except when shown a hairless cat, which it does not classify at all. What might be the problem?
Poor image quality
The training data did not feature any pictures of hairless cats
The computer vision model is flawed
The training data did not have enough cat images
What is meant by computer vision is...
the process of knowing/understanding what is in the world and where it is seen
the process or method of producing an image or photo of an object
image and video analysis studies to achieve results similar to analyzes performed by a human
process of light and image on film or sensitized surfaces
The following image is a use for…
Detection/Recognition
Coloring
Selection
Segmentation
Refer the figure: historical buildings in Melaka. Which of the following process can be taken to remedy the problem/effect?
This effect can be remedied by reducing the color channels of the image before subsampling the image.
This effect can be remedied by applying a smoothing filter to smooth (blur) the image before subsampling the image.
This effect can be remedied by subsampling the image and then applying a smoothing filter to smooth(blur) the image.
This effect can be remedied by applying a sharpening filter to highlight the edge information before subsampling the image.
Given an image with 512*512 pixels. How is this image stored on a computer? Choose ALL that apply.
As average values of 512/512
As pixel with position of coordinate 512, 512
As a matrix of 512 * 512
As an array of 512*512
All of the following are High Level Applications except ........
Car Detection
Traffic Sign Detection
Edge Detection
Road Segmentation
Image Filtering is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Image Scaling is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Image Segmentation by objects is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Object Detection is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Stereo Vision is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Detecting Cars in Streets is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Detecting Edges of an Image is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Detecting Edges of an Image is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Resizing an Image is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
3D Reconstruction of 2 Images is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
Image Filtering is considered ................ Application
Low Level Vision
Mid Level Vision
High Level Vision
All of the following are High Level Applications except ........
Car Detection
Traffic Sign Detection
Edge Detection
Road Segmentation
5. Low-level vision includes process image for feature extraction.
Yes
No
Neither Yes nor NO
Can't say
9. The quality of an image is dependent on ___________.
Resolution of the screen
Quality of Camera with which image was captured
Color Depth
Interlacing
What is the smallest unit of an image?
1 sq. mm
DPI
Pixel
Point
A translation is applied to an object by
Enlarging the object
Shrinking the object
Repositioning it along with straight line path
Repositioning it along with circular path
Which transformation distorts the shape of an object such that the transformed shape appears as if the object were composed of internal layers that had been caused to slide over each other?
Rotation
Scaling up
Scaling down
Shearing
Which of the following is defined as the process of elimination of parts of a scene outside a window or a viewport?
clipping
cutting
plucking
editing
What is the primary goal of Computer Vision?
A) To enhance image quality
A) To interpret and make decisions based on visual data
A) To store images efficiently
To increase resolution of images
What does a pixel represent in an image?
A) A segment of a video
A) The smallest unit of an image
A) The color depth of an image
The brightness of an image
What does segmentation in Computer Vision refer to?
A) Enhancing image details
A) Dividing an image into parts or regions
A) Reducing image size
Increasing image resolution
What is feature extraction in Computer Vision?
A) Reducing image noise
A) Identifying and describing relevant characteristics from an image
A) Increasing image contrast
Storing image data
What does the pixel value represent in a grayscale image?
A) The color
A) The intensity
A) The contrast
The brightness
Computer imaging can be defined as the __________ and _______of visual information by computer.
acquisition and processing
editing nd processing
acquisition and Manipulation
______________ involve the manipulation of image data for
viewing by people.
Image processing application
Vision applications
_______involves taking an image and improving
it visually, typically by taking advantage of the human visual system’s response.
Pattern (object) classification
Feature extraction
Image enhancement
_______the process of transforming a standard
video signal into a digital image.
Image acquisition
Image framing
Image Digitization
Images can be represented as an _____.
array form
matrix form
vector.
_____images are often used in the situation that only the general shape, outline or position information are needed.
Gray scale images
color images
Binary Images
You have trained a computer vision model to recognize pictures of cats. It works very well except when shown a hairless cat, which it does not classify at all. What might be the problem?
Poor image quality
The training data did not feature any pictures of hairless cats
The computer vision model is flawed
The training data did not have enough cat images
The eye as a tool of human vision serves as a...
computer
Processor
sensor
software
img=cv2.imread('Image file path',0) will read the image in _______ colour space
RGB
BGR
Grayscale
YUV
Salt and pepper noise is known as impulse noise
True
False
cvtColor function is used for ____________
Changing the image size
Display the image
Read the image
Converting the color space of the image
if a 3x3 region contained the grey levels (25 21 23 25 18 255 30 13 22) the median would be (a)
23
25
30
21
What are some image processing techniques?
image rotation
image resizing
image filtering
image enhancement, image restoration, image segmentation, image compression, and image recognition
Which of the following is NOT the possible applications of Computer Vision?
Detect the edges of an object
Interpret typed or handwritten text
Identify the sentiment of a sentence
Facial recognition
OpenCV-Python is a Python library that is based on OpenCV. What are the usages of OpenCV-Python? (Select 2 options.)
Sentiment analysis
Image processing
Object detection
Text classification
