Evaluation of Image Processing and Computer Vision Techniques: True or False Statements

Question#2

5. Non-maximum suppression is used in Harris corner detection to compute cornerness score.

( 6. In SIFT, keypoints are identified as local minima/maxima of the DoG images across scales.

2. • False. While median filtering is effective for salt-and-pepper noise, the "best" technique depends on the specific characteristics of the noise and the image. Other methods like Gaussian blurring or adaptive filtering might be better in certain scenarios.

3. In CNN, ReLU Layer is used to reduce the dimensionality of the feature map.

5. • False. Non-maximum suppression is used in corner detection to suppress responses that are not local maxima, ensuring that only the strongest corner responses are retained. The Harris corner detector computes cornerness scores based on the eigenvalues of the structure tensor.

6. In SIFT, keypoints are identified as local minima/maxima of the DoG images across scales.

3. False

4. True