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Showing posts from January, 2019

Activation Functions

Neuron Model The operation of a neuron in an artificial neural network is, to sum up, the product of the input and associated weight (also called connection weight) and produce an output using activation/transfer function. It maps the output values in the desired range such as 0 to 1 or -1 to 1 or 0 to inf. This output will act as an input for neuron of next layer.

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Transparent Image overlay(Alpha blending) with OpenCV and Python

(a)Final Blended Image                     (b) Background Image                             (c)Foreground Image                               Alpha blending Alpha blending is the process of overlaying a foreground image with transparency over a background Image. The transparent image is generally a PNG image.It consists of four channels (RGBA).The fourth channel is the alpha channel which holds the transparency magnitude. Image (b) is a background image and image (c) is the foreground / overlay image. Image (a) is the final blended image obtained by blending  the overalay image using the alpha mask.  Below is the image(Fig d) of the alpha channel of the overlay  image. (d).Alpha Channel At every pixel of the image, we blend the background...

Fast Pixel Processing with OpenCV and Python

In this post. I will explain how fast pixel manipulation of an image can be done in Python and OpenCV. Image processing is a CPU intensive task. It involves processing on large arrays. Hence when you are implementing your Image Processing algorithm, you algorithm needs to be highly efficient. The type of operation that can be applied on an Image can be classified into three categories.