Image Representation and Description: Master Image Features for AI

Question 1

Which technique is primarily NOT intended for image texture representation?

Accepted Answer

Principal Component Analysis (PCA)

Answer

Histogram of Oriented Gradients (HOG)

Answer

Gabor filters

Answer

Local Binary Patterns (LBP)

Question 2

How is the spatial distribution of pixel values in an image typically captured?

Accepted Answer

Histogram-based representation

Answer

Moment-based representation

Answer

Texture analysis

Answer

Histogram equalization

Question 3

How does moment-based image representation contribute to content-based image retrieval systems?

Accepted Answer

Enables efficient shape representation

Answer

Remains unaffected by lighting variations

Answer

Preserves intricate image details

Question 4

Which of the following is NOT an advantage of using histograms to represent image features?

Accepted Answer

They are invariant to changes in lighting conditions

Answer

They are robust to noise

Answer

They are computationally efficient

Answer

They can capture the distribution of pixel values

Question 5

What type of image moment is used to measure the asymmetry of an image?

Accepted Answer

Skewness

Answer

Standard deviation

Answer

Variance

Answer

Kurtosis

Question 6

Which of the following texture analysis methods uses a statistical approach to characterize texture?

Accepted Answer

Haralick features

Answer

Gabor filters

Answer

Fourier transform

Answer

Wavelet transform

Question 7

What is the purpose of image description?

Accepted Answer

To provide a concise and informative summary of the image's content and features

Answer

To store the image in a compressed format

Answer

To facilitate image retrieval

Question 8

What is the main advantage of using a hierarchical image representation scheme?

Accepted Answer

It allows for multi-scale analysis and matching, enabling the representation of images at different levels of detail

Answer

It reduces computational complexity

Answer

It simplifies image understanding

Answer

It improves image quality

Question 9

What is the purpose of using a Gabor filter in texture analysis?

Accepted Answer

To extract specific orientations and frequencies of texture patterns

Answer

To reduce noise in the image

Answer

To enhance edges in the image

Answer

To segment the image into different regions

Question 10

What is the key difference between pixel-based and region-based image representation?

Accepted Answer

Pixel-based representations consider individual pixels, while region-based representations group pixels into meaningful regions based on properties like color, texture, or shape

Answer

Pixel-based representations are more computationally efficient