Câu hỏi gốc môn CPV301

273 câu gốc, sắp theo số đề từng chứa câu đó.

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Choose the best description of Gaussian smoothing.

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Choose the best answer about color space.

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In Fourier transform, what is the abbreviation for DFT?

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What is the primary purpose of the Fourier transform in signal processing and image analysis?

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...... can be used to find a sparse set of corresponding locations in different images. Choose the best answer.

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Choose the best answer about digital image.

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It is a technique for efficiently finding peaks in this high-dimensional data distribution without ever computing the complete function explicitly. What is the exact name of this technique in image segmentation?

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It is a type of image segmentation where we change the pixels of an image to make the image easier to analyze. We convert an image from color or grayscale into a binary image, i.e., one that is simply black and white. What is the exact name of this process?

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When preventing aliasing, what additional step may be required before applying a shearing transformation in image processing?

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An ......... is a transformation that preserves collinearity and the ratio of distances. Choose the best answer.

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What are the differences between correlation and convolution?

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Choose the best description of the convolution kernel.

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Edge detection is a technique widely used in medical image processing and automatic traffic control systems. Edge detection is divided into two basic types: the second is a Gaussian-based operator which computes second-order derivatives in a digital image. Which of the following algorithms belongs to this type?

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The object tracking level can be divided into two basic types. The first type is Single Object Tracking (SOT). Choose the best description of Single Object Tracking (SOT).

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Choose the best answer about 2D lines.

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Which of the following methods identifies edges in an image by the zero-crossing technique?

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Active contour is described as an active model for the process of segmentation. Which of the following algorithms is used in active contour? Choose the best answer.

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In K-means segmentation, what does "K" represent?

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How many steps are there in the task of face recognition?

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Object detection method has two approaches. In which, the first approach is non-neural, which is widely used in traditional computer vision. What is the second approach? Choose the best correct answer.

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Câu hỏi gốc môn CPV301

Choose the best description of Gaussian smoothing.

Choose the best answer about color space.

In Fourier transform, what is the abbreviation for DFT?

What is the primary purpose of the Fourier transform in signal processing and image analysis?

...... can be used to find a sparse set of corresponding locations in different images. Choose the best answer.

Choose the best answer about digital image.

It is a technique for efficiently finding peaks in this high-dimensional data distribution without ever computing the complete function explicitly. What is the exact name of this technique in image segmentation?

It is a type of image segmentation where we change the pixels of an image to make the image easier to analyze. We convert an image from color or grayscale into a binary image, i.e., one that is simply black and white. What is the exact name of this process?

When preventing aliasing, what additional step may be required before applying a shearing transformation in image processing?

An ......... is a transformation that preserves collinearity and the ratio of distances. Choose the best answer.

What are the differences between correlation and convolution?

Choose the best description of the convolution kernel.

The object tracking level can be divided into two basic types. The first type is Single Object Tracking (SOT). Choose the best description of Single Object Tracking (SOT).

Choose the best answer about 2D lines.

Which of the following methods identifies edges in an image by the zero-crossing technique?

Active contour is described as an active model for the process of segmentation. Which of the following algorithms is used in active contour? Choose the best answer.

In K-means segmentation, what does "K" represent?

How many steps are there in the task of face recognition?

Object detection method has two approaches. In which, the first approach is non-neural, which is widely used in traditional computer vision. What is the second approach? Choose the best correct answer.