Image Processing Specialist

Description

Interview questions for Image Processing Specialist

Interview Questions (37)

Q1Explain the concept of pixels and image resolution.
Technical
Q2What are the common color spaces used in image processing (RGB, HSV, LAB, YCbCr)?
Technical
Q3Explain the 2D Discrete Fourier Transform (DFT).
Technical
Q4How does the Fast Fourier Transform (FFT) improve over DFT?
Technical
Q5What is convolution in image processing and why is it important?
Technical
Q6What is correlation and how does it differ from convolution?
Technical
Q7What are linear and non-linear filters? Give examples.
Technical
Q8Explain Gaussian filtering and its purpose.
Technical
Q9What are some commonly used image enhancement techniques?
Technical
Q10What is histogram equalization and how does it enhance images?
Technical
Q11Explain the concept of color correction and its applications.
Technical
Q12What is image thresholding, and how does Otsu's method work?
Technical
Q13What are the different types of noise that can occur in images?
Technical
Q14Explain different noise reduction techniques.
Technical
Q15What is Principal Component Analysis (PCA) and how is it used in image processing?
Technical
Q16What are Affine Transformations in images?
Technical
Q17What are geometric transformations in image processing?
Technical
Q18What is a homography, and where is it used?
Technical
Q19What are camera intrinsic and extrinsic parameters, and why is camera calibration needed?
Technical
Q20What is epipolar geometry, and how is it used in stereo vision?
Technical
Q21What are morphological operations and why are they useful?
Technical
Q22What is the morphological gradient?
Technical
Q23What is an edge in an image?
Technical
Q24Explain Sobel and Prewitt edge detectors.
Technical
Q25Explain the Canny edge detection algorithm step by step.
Technical
Q26Explain the Hough Transform and its use in detecting lines and circles.
Technical
Q27What is the Harris Corner Detector, and how does it differ from the FAST detector?
Technical
Q28What is a feature descriptor in computer vision?
Technical
Q29What is Scale-Invariant Feature Transform (SIFT) and how does it work?
Technical
Q30Explain Speeded Up Robust Features (SURF).
Technical
Q31What is ORB and how does it compare to SIFT and SURF?
Technical
Q32What is the Histogram of Oriented Gradients (HOG) and how is it used?
Technical
Q33Explain template matching and its limitations.
Technical
Q34What is optical flow? Explain Lucas-Kanade method.
Technical
Q35What is object tracking, and how do algorithms like Kalman Filter, SORT and DeepSORT work?
Technical
Q36What is the Watershed algorithm, and how is it used for image segmentation?
Technical
Q37How can image segmentation be performed using K-Means clustering?
Technical