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Quiz 1

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What operation brightens an image matrix?

a)

Scalar multiplication

b)

Matrix inverse

c)

Matrix determinant

d)

Matrix transpose

2.

Eigenvalues are associated with which matrix property?

a)

Transformation scaling

b)

Zero matrix

c)

Diagonal elements

d)

Rank

3.

PCA stands for:

a)

Principal Component Analysis

b)

Principal Calculation Analysis

c)

Projected Component Architecture

d)

Predictive Classification Algorithm

4.

What is the effect of increasing pixel values using matrix addition?

a)Darkening

What is the effect of increasing pixel values using matrix addition?b)Color inversion

c)No effect

d)Brightening

a)

Brightening

b)

Darkening

c)

Color inversion

d)

No effect

5.

The eigen values of a covariance matrix from a censored data are 2,5 and 1. Identify the eigen value corresponding to first principal component.

a)

5

b)

2

c)

1

d)

3

6.

The matrix formed from a grayscale image is:

a)

Polynomial

b)

Boolean

c)

2D numerical array

d)

Vector

7.

In PCA, eigenvectors are used to:

a)

Identify principal directions

b)

Find the mean of the data

c)

Shrink matrix size

d)

Eliminate noise

8.

What type of matrix is often used in PCA after centering data?

a)

Transition matrix

b)

Covariance matrix

c)

Laplacian matrix

d)

Adjacency matrix

9.

Which operation enhances contrast in image processing?

a)

Transpose

b)

Trace calculation

c)

Matrix inversion

d)

Scalar multiplication

10.

Which concept helps reduce the number of features in high-dimensional data?

a)

Eigenvalue filtering

b)

Eigenvalue filtering

c)

Principal Component Analysis (PCA)

d)

Matrix rotation