Image processing

1. Image processing is a method to perform operations on an image in order to get an enhanced image or to extract some useful information from it. It involves various techniques including image enhancement, segmentation, noise reduction, feature extraction, pattern recognition, and more. Image processing is used in a wide range of applications such as medical imaging, satellite imaging, facial recognition, self-driving cars, and digital photography. It plays a crucial role in enhancing the quality of images, analyzing visual data, and facilitating decision-making in various fields.

What is spatial domain processing in image processing?

A) Operations are performed directly on the pixels of an image.
B) Applying filters to an image.
C) Analyzing the frequency components of an image.
D) Converting an image to a different color space.

2. What is image segmentation?

A) Creating a 3D representation of an image.
B) Dividing an image into multiple segments to simplify its representation.
C) Adjusting the contrast of an image.
D) Detecting and recognizing objects in an image.

3. What is edge detection in image processing?

A) Blurring the details in an image.
B) Colorizing a black and white image.
C) Identifying the boundaries of objects in an image.
D) Morphing one image into another.

4. What is image compression?

A) Reducing the size of an image file while preserving its visual quality.
B) Adding noise to an image.
C) Enlarging an image without losing quality.
D) Converting a color image to grayscale.

5. What does the term 'bit depth' refer to in image processing?

A) The number of colors in an image.
B) The number of bits used to represent each pixel in an image.
C) The physical size of an image in pixels.
D) The aspect ratio of an image.

6. What is histogram equalization used for in image processing?

A) Resizing an image.
B) Adding noise to an image.
C) Improving the contrast of an image by spreading out pixel values.
D) Converting an image to black and white.

7. Which image file format supports lossless compression?

A) JPEG
B) BMP
C) PNG
D) GIF

8. What is the purpose of dilating an image in morphological operations?

A) Changing the colors of an image.
B) Reducing the size of objects in an image.
C) Adding noise to an image.
D) Expanding the boundaries of objects in an image.

9. What is color space conversion in image processing?

A) Adding noise to an image.
B) Resizing an image.
C) Converting an image from one color representation to another.
D) Adjusting the brightness of an image.

10. What is the purpose of morphological operations in image processing?

A) Smoothing out the texture of an image.
B) Applying artistic filters to an image.
C) Enhancing the brightness of an image.
D) Manipulating the structure of objects in an image.

11. Which image processing technique is used for recognizing and extracting text from images?

A) Histogram analysis
B) Lens distortion correction
C) Optical Character Recognition (OCR)
D) Pixel averaging

12. What is a convolutional neural network (CNN) commonly used for in image processing?

A) Image classification and object detection.
B) Creating image collages.
C) Adding motion blur to images.
D) Converting color images to black and white.

13. Which technique is commonly used to remove noise from images?

A) Thresholding
B) Median filtering
C) Saturation adjustment
D) Dithering

14. Which algorithm is commonly used for image segmentation?

A) Principal component analysis
B) Linear regression
C) Gradient descent
D) K-means clustering

15. What is template matching in image processing?

A) Creating a collage from multiple images.
B) Generating random images.
C) Detecting edges in an image.
D) Finding a subimage within a larger image.

16. In image processing, what is the Fourier transform used for?

A) Detecting edges in an image.
B) Converting an image from spatial domain to frequency domain.
C) Rotating an image.
D) Creating animations from still images.

Created with That Quiz — where a math practice test is always one click away.