A3 CVP BASIC - Image Processing Basics Practice Test PDF

A3 CVP BASIC: Image Processing Basics -- Practice Test ------------------------------------------------------ **1. What is the purpose of the CVP Image Processing Basics course?** a. To understand the basics of color theory b. To successfully deploy machine vision applications c. To create gr...

A3 CVP BASIC: Image Processing Basics -- Practice Test ------------------------------------------------------ **1. What is the purpose of the CVP Image Processing Basics course?** a. To understand the basics of color theory b. To successfully deploy machine vision applications c. To create graphical user interfaces d. To design image processing hardware **2. Which of the following describes an 8-bit grayscale image?** a. Gray values range from 0 to 255 b. Gray values range from 0 to 1024 c. Gray values range from 0 to 65535 d. Gray values are in RGB format **3. What is the primary benefit of a histogram in image processing?** a. It measures image brightness b. It displays image edges c. It shows the number of pixels at each gray level d. It controls image saturation **4. What is a convolution used for in image processing?** a. To increase brightness b. To add random noise c. To apply a filter by sliding a kernel over an image d. To convert color images to grayscale **5. Which filter is commonly used for edge detection?** a. Mean filter b. Gaussian filter c. Sobel filter d. Median filter **6. How is a Fourier Transform used in image processing?** a. To compress an image b. To represent an image in terms of its frequencies c. To detect edges d. To enhance colors **7. In morphological operations, what does \"dilation\" do?** a. Removes pixels along object boundaries b. Adds pixels along object boundaries c. Reduces the number of objects d. Fills in gaps in an image **8. Which color space transformation is commonly used to separate colored objects?** a. Grayscale conversion b. RGB to HSI (Hue, Saturation, Intensity) c. Contrast adjustment d. Gamma correction **9. What is the goal of segmentation in image processing?** a. To increase image brightness b. To create a histogram c. To partition an image into meaningful regions d. To blur the background **10. What is \"blob analysis\" used for?** a. Adjusting image brightness b. Counting and analyzing objects in an image c. Smoothing an image d. Color calibration **11. What does a Gaussian filter do in image processing?** a. Sharpens edges b. Blurs the image c. Increases contrast d. Inverts colors **12. What is the purpose of the Sobel operator?** a. To smooth an image b. To detect edges by calculating gradients c. To convert color images to grayscale d. To adjust brightness **13. Which image processing technique is typically used to remove noise?** a. Convolution b. Histogram equalization c. Median filter d. Fourier transform **14. In a Fourier Transform, what does the DC term represent?** a. The highest frequency component b. The total pixel count c. The lowest frequency or average value d. The histogram peak **15. Which of the following is true about 3D image sensors?** a. They use 8-bit grayscale values b. They store data as RGB channels c. They capture height information in grayscale d. They can only detect color **16. What is a typical application of geometric transformations in image processing?** a. Increasing image resolution b. Adjusting brightness and contrast c. Aligning or rotating objects d. Adding color filters **17. Which filter is effective for detecting defects through curvature?** a. Median filter b. Laplace filter c. Gaussian filter d. High-pass filter **18. Which of the following best describes image segmentation?** a. Dividing an image based on pixel intensity values b. Converting a color image to grayscale c. Enhancing the edges in an image d. Applying a low-pass filter **19. Which operation in morphology is a combination of erosion followed by dilation?** a. Smoothing b. Gradient c. Opening d. Closing **20. What is a characteristic of rank filters in image processing?** a. They return the average pixel value in a neighborhood b. They return the highest or lowest pixel rank c. They increase the image contrast d. They perform a Fourier transform **21. What is the purpose of edge detection in image processing?** a. To enhance color details b. To identify boundaries within an image c. To smooth an image d. To adjust image brightness **22. What is the main function of blob analysis in image processing?** a. It removes background noise b. It detects and counts objects c. It enhances image contrast d. It blurs edges **23. Which image operation can make small objects disappear by eroding them?** a. Convolution b. Dilation c. Erosion d. Fourier transform **24. What does a low-pass filter typically do?** a. Highlights high frequencies b. Suppresses high frequencies, smoothing the image c. Enhances the edges d. Applies color adjustments **25. What is the purpose of thresholding in segmentation?** a. It converts all pixels to one color b. It filters out high-frequency noise c. It separates objects based on intensity levels d. It adjusts image brightness **26. Which type of thresholding is used when brightness varies across an image?** a. Fixed threshold b. Global threshold c. Local or adaptive threshold d. Binary threshold **27. What does the term \"connectivity\" refer to in image processing?** a. Linking pixels based on shared intensity b. Connecting colors in an RGB image c. Adjusting contrast levels d. Rotating and scaling objects **28. What does "morphology" in image processing typically involve?** a. Altering the size and shape of objects in an image b. Changing the image's color balance c. Performing high-pass filtering d. Converting an image to grayscale **29. Which process in morphology can be used to close small gaps in an object?** a. Erosion b. Dilation c. Convolution d. Thresholding **30. In pattern matching, what is a similarity map used for?** a. Measuring image brightness b. Identifying similar pixels c. Finding the best match position and rotation of an object d. Adjusting the image size