edge

First derivatives in image segmentation produces
(A) Thick edge
(B) Thin edge
(C) Fine edge
(D) None of the above

Which of the following image edge detection techniques emphasizes rapid intensity changes in pixel values and is commonly used in computer vision and image processing?

A) Gaussian Blur B) Median Filtering C) Sobel Operator D) Histogram Equalization

Which of the following operators is commonly used for detecting edges in image processing?

A) Laplacian of Gaussian (LoG) B) Fast Fourier Transform (FFT) C) K-means clustering D) Mean filtering

• A) Laplacian of Gaussian (LoG)

• B) Fast Fourier Transform (FFT)

• C) K-means clustering

• D) Mean filtering

Which of the following edge detection techniques is known for preserving edges in an image while reducing noise?

A) Canny edge detection B) Roberts operator C) Histogram equalization D) Hough transform

Which edge detection technique uses the concept of zero-crossing to detect edges in an image?

A) Roberts operator B) Sobel operator C) Prewitt operator D) Laplacian of Gaussian (LoG)

• A) Roberts operator

• B) Sobel operator

• C) Prewitt operator

• D) Laplacian of Gaussian (LoG)

Write Laplacian filter ?

Answer explanation

write sobel filter ?

Answer explanation

write robert filter ?

Answer explanation

prewitt filter value?

Answer explanation

Different types of Image segmentations techniques with example