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### Video 57: Rice Grain Quality Assessment using Morphological Image Processing (Offline and Realtime mode)

Hello viewers, in this video, an implementation of rice quality assessment algorithm is shown. The proposed algorithm is based on morphological image processing. The quality of rice is estimated only on the basis of the length of rice grains. This implementation is done for both offline and online (Realtime) mode. In offline mode, images of rice grains are given to the algorithm and in real time mode, a camera is attached which takes images of rice grains and tells the outcome in real time.

This video includes following contents,
• Need of automated rice grain quality assessment.
• Steps of proposed scheme based on morphological image processing.
• Solving touching grains problem.
• MATLAB Code for proposed scheme.
• Testing in offline and online mode.

### Video 56: Pseudo Coloring (Grayscale image to Color image Conversion)

Hello viewers, In this video, the concept of Pseudo Coloring is presented. Pseudo coloring is the process of converting grayscale image into color images. This lecture covers two methods, first is Intensity Slicing with few colors and with 256 colors while second method is Color Transformation. This video includes following contents,

• What is Pseudo Coloring?
• Need of Pseudo Coloring.
• Pseudo Coloring using Intensity Slicing.
• Pseudo Coloring using Color transformation.
• MATLAB Codes for Intensity Slicing, Color Transformation

### Video 55: Discrete Fourier Transform (DFT) of 1-D Signals

Hello viewers, In this video, the basic theory of Discrete Fourier Transform (DFT) is presented. It includes background of DTFT and evolution of DFT from DTFT. It also explains that how DFT can be expressed as linear transformation for easy calculation of forward DFT and inverse DFT. Also computational complexity of DFT/ IDFT calculation is discussed and compared with FFT. The MATLAB implementation is also given by which one can find N-point DFT of any real sequence of any length. This video includes following topics,

* Introduction to Discrete Time Fourier Transform (DTFT).
* Need of Discrete Fourier Transform (DFT).
* DFT Computation method.
* DFT as linear transformation.
* Algorithm complexity.
* MATLAB Code to find N-point DFT of any sequence.

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