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Entrevistas simuladas LIVE de WithoutBook OpenCV Temas de entrevista relacionados: 14

Interview Questions and Answers

Conoce las principales preguntas y respuestas de entrevista de OpenCV para principiantes y candidatos con experiencia para prepararte para entrevistas laborales.

Total de preguntas: 36 Interview Questions and Answers

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Conoce las principales preguntas y respuestas de entrevista de OpenCV para principiantes y candidatos con experiencia para prepararte para entrevistas laborales.

Interview Questions and Answers

Busca una pregunta para ver la respuesta.

Preguntas y respuestas para nivel principiante / recien graduados

Pregunta 1

what is OpenCV?

OpenCV stands for Open Source Computer Vision Library is an open-source library using which is used to develop real-time computer vision applications such as image processing, video capture, and analysis, for example, face detection and object detection.
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Pregunta 5

Define Resolutions.

Resolution is defined as the smallest number of discernible detail in an image.Spatial resolution is the smallest discernible detail in an image and gray level resolution refers to the smallest discernible change is gray level.
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Pregunta 6

What Is Meant By Pixel?

A digital image is composed of a finite number of elements each of which has a particular location or value. These elements are referred to as pixels or image elements or picture elements or pixls elements.
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Preguntas y respuestas para nivel intermedio / de 1 a 5 anos de experiencia

Pregunta 7

What are Erosion and Dilation in OpenCV?

In OpenCV, Erosion and Dilation are the two very common morphological image processing operations which is a procedure for modifying the geometric structure in the image.
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Pregunta 9

What is OpenGL?

OpenGL stands for Open Graphics Library, it is an open-source cross-platform application programming interface (API) for rendering 2D and 3D vector graphics. The API is used to interact with GPU for achieving the hardware-accelerated rendering.
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Pregunta 10

How many types of video filters are in OpenCV?

Different types of video filters available in OpenCV are Blurring, Smoothing, Distortion, Warp Stabilizer, alpha extract, bilateral, color matrix, chrome hold, etc.
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Pregunta 14

What Is Image Translation And Scaling?

Image translation means reposition the image from one co-ordinate location to another along straight line path. Whereas, Scaling refers to alter the size of the object or image (ie) a co-ordinate system is scaled by a factor.
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Pregunta 15

What Do You Meant By Shrinking Of Digital Images?

Shrinking may be viewed as under sampling. If an image is been shrinked by one half, we delete every row and column. To reduce possible aliasing effect, it is a good idea to blue an image slightly before shrinking it.
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Pregunta 16

Explain Subjective Brightness And Brightness Adaptation.

Subjective brightness means intensity as preserved by the human visual system . Brightness adaptation means the human visual system can operate only from scotopic to glare limit. It cannot operate over the range simultaneously. It performs large variation by changes in its overall intensity.


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Pregunta 17

How can we Increase the Quality of an Image?

– Recognition and Interpretation

Image enhancement process is purely dependent on the application where we need to use the enhanced image and the type of degradation in the image. Few solutions from my basic knowledge

– If image contain so much noises, apply filtering operations such as mean/median etc.

– If the image is looking too dark or too bright apply histogram equalization process to improve the contrast.

– If the image is blurred apply sharpening operations in the image.

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Preguntas y respuestas para nivel experimentado / experto

Pregunta 21

Enlist different types of filters available in OpenCV?

The different types of linear and non-linear filter that you can apply to a picture using OpenCV are, BaeColumn filter, Base filter, BaseRow filter, FilterEngine, Bilateral filter, AdaptiveBilateral Filter, Blur, BorderInterpolate, BoxFilter, BuildPyramid, copyMakeBorder, createBoxFilter, createDerivFilter, createGuassionFilter, createLinear filter, createMorphology filter, createSeparableLinear filter, dilate, erode, filter2D, GuassianBlur, getDerivKernels, getKernelType, getStructuringElement, medianBlur, morphologyEx, Laplacian, pyrDown, pyrUp, pyrMeanShiftFiltering, sepFilter2D, Smooth, Sobel, Scharr.
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Pregunta 22

What is computer vision?

It's a Subset of AI. Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain a high-level understanding of images or videos.
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Pregunta 23

What are machine learning algorithms available in OpenCV?

Normal Bayes ClassifierK-Nearest NeighborsSupport Vector MachinesDecision TreesBoostingGradient Boosted TreesRandom TreesExtremely randomized trees
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Pregunta 26

How can we Increase the Quality of an Image in OpenCV?

Image enhancement process is purely dependent on the application where we need to use the enhanced image and the type of degradation in the image. Few solutions from my basic knowledge

– If image contain so much noises, apply filtering operations such as mean/median etc.

– If the image is looking too dark or too bright apply histogram equalization process to improve the contrast.

– If the image is blurred apply sharpening operations in the image.

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Pregunta 27

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.
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Pregunta 28

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.
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Pregunta 29

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.
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Pregunta 31

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.

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Pregunta 32

What Is Meant By Illumination And Reflectance?

Illumination is the amount of source light incident on the scene. It is represented as i(x, y). Whereas, Reflectance is the amount of light reflected by the object on the scene. It is represented by r(x, y).
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Pregunta 33

List The Categories Of Digital Storage in OpenCV?

They are as follows

– Short term storage for use during processing.

– Online storage for relatively fast recall.

– Archival storage for infrequent access.

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Pregunta 34

What Are The Differences Between Structural Patterns & Morphological Structural Element?

In software engineering, structural design patterns are design patterns that ease the design by identifying a simple way to realize relationships between entities.
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Pregunta 36

What Is Geometric Transformation?

Transformation is used to alter the co-ordinate description of image.The basic geometric transformations are 
 – Image translation 
 – Scaling 
 – Image rotation
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