OpenCV 面接の質問と回答

質問 21. What Is Image Transform in OpenCV?

An image can be expanded in terms of a discrete set of basis arrays called basis images. Hence, these basis images can be generated by unitary matrices. An NxN image can be viewed as an N^2×1 vectors. It provides a set of coordinates or basis vectors for vector space.

質問 22. What do you mean by zooming of digital images?

Zooming may be viewed as over sampling. Zooming involves the creation of new pixel locations and the assignment of gray levels to those new locations.

質問 23. What Is The Need For Transform in OpenCV?

The need for transform is most of the signals or images are time domain signal (ie) signals can be measured with a function of time. This representation is not always best. Any person of the mathematical transformations is applied to the signal or images to obtain further information from that signal. Particularly, for image processing.

質問 24. List The Hardware Oriented Color Models?

They are as follows.– RGB model– CMY model– YIQ model– HSI model

質問 25. Do You Know What Rectification Is In Image Processing in OpenCV?

They are as follows.

– Rectification in Image Processing is a transformation process used to project two-or-more images onto a common image plane.

– It corrects image distortion by transforming the image into a standard coordinate system.

– It is used in computer stereo vision to simplify the problem of finding matching points between images.

– It is used in geographic information systems to merge images taken from multiple perspectives into a common map coordinate system.