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Raspberry Pi Sensors

You're reading from   Raspberry Pi Sensors Integrate sensors into your Raspberry Pi projects and let your powerful microcomputer interact with the physical world

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781784393618
Length 192 pages
Edition 1st Edition
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Author (1):
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Rushi Gajjar Rushi Gajjar
Author Profile Icon Rushi Gajjar
Rushi Gajjar
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Toc

Table of Contents (10) Chapters Close

Preface 1. Meeting Your Buddy – the Raspberry Pi FREE CHAPTER 2. Meeting the World of Electronics 3. Measuring Distance Using Ultrasonic Sensors 4. Monitoring the Atmosphere Using Sensors 5. Using an ADC to Interface any Analog Sensor with the Raspberry Pi 6. Uploading Data Online – Spreadsheets, Mobile, and E-mails 7. Creating an Image Sensor Using a Camera and OpenCV A. Shopping List Index

Image processing


Have you ever tried to look at an image by zooming it to a maximum level? It just looks like a floor with organized tiles and colorful patterns on it. These square tiles in the image are known as pixels. Basically, an image is a group of such pixels, with each pixel containing a particular value of color, which forms the recognizable patterns by providing information to the human eye. It all depends on how humans perceive the image by observing shapes and colors. Each pixel in an image contains information that can be generated from a byte (8 bits) or a couple of bytes, which defines the depth of an image. Depth of an image is nothing but the number of bits present in a single pixel. Current display monitors and graphics engines support up to 64-bit depth of images. Basic types of images are binary, grayscale, and RGB, and many more such as HSV, HLS, and YCC are known types. A grayscale image does have the range of values from 0 to 255 in the 8-bit mode, while a binary image...

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