interactive image processing for machine vision

Interactive Image Processing for Machine Vision

ISBN: , SKU: , AUTHOR: Batchelor, Bruce G. / Waltz, Frederick, PUBLISHER: Springer, Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. This publication presents the state of the art in image processing. It discusses techniques which have been developed for designing machines for use in industrial inspection and robot control, putting the emphasis on software and algorithms. A comprehensive set of image processing subroutines, which together form the basic vocabulary for the versatile image processing language IIPL, is presented. This language has proved to be extremely effective, working as a design tool, in solving numerous practical inspection problems. The merging of this language with Prolog provides an even more powerful facility which retains the benefits of human and machine intelligence. The authors bring together the practical experience and the picture material from a leading industrial research laboratory and the mathematical foundations necessary to understand and apply concepts in image processing. Interactive Image Processing is a self-contained reference book that can also be used in graduate level courses in electrical engineering, computer science and physics.

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Image and Video Processing in the Compressed Domain 1st

ISBN: , SKU: , AUTHOR: Jayanta Mukhopadhyay, PUBLISHER: Taylor & Francis Group, NA

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Photoshop 5 Interactive Course (The Interactive Course

ISBN: , SKU: , AUTHOR: London, Sherry, Grossman, Rhoda, PUBLISHER: Waite Group, This carefully sequenced book will allow you to learn at your own pace and earn a college credit as well. It is like having a skilled instructor at your side -- in a class of one Even if you have never used a graphics program before, Photoshop 5 Interactive Course will teach you to competently scan and color correct images, build photo-collages, and create graphics for the Web. As cameras move toward "filmless" photography, as color printing and printers become more affordable, and as technology makes us all more interconnected, it becomes critical for graphic artists, photographers, videographers, and for people in the information-handling professions to know how to use high-end image-editing tools. Photoshop is the tool of choice on the Macintosh, Windows, and Sun platforms.

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The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. You program the OpenMV Cam in high level Python scripts (courtesy of the MicroPython Operating System) instead of C/C++. This makes it easier to deal with the complex outputs of machine vision algorithms and working with high level data structures. But, you still have total control over your OpenMV Cam and its I/O pins in Python. You can easily trigger taking pictures and video on external events or execute machine vision algorithms to figure out how to control your I/O pins. The OpenMV Cam features: The STM32F765VI ARM Cortex M7 processor running at 216 MHz with 512KB of RAM and 2 MB of flash. All I/O pins output 3.3V and are 5V tolerant. The processor has the following I/O interfaces: A full speed USB (12Mbs) interface to your computer. Your OpenMV Cam will appear as a Virtual COM Port and a USB Flash Drive when plugged in. A ?SD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to record video and easy pull machine vision assets off of the ?SD card. A SPI bus that can run up to 54Mbs allowing you to easily stream image data off the system to either the LCD Shield, the WiFi Shield, or another microcontroller. An I2C Bus, CAN Bus, and an Asynchronous Serial Bus (TX/RX) for interfacing with other microcontrollers and sensors. A 12-bit ADC and a 12-bit DAC. Three I/O pins for servo control. Interrupts and PWM on all I/O pins (there are 10 I/O pins on the board). And, an RGB LED and two high power 850nm IR LEDs. The OV image sensor is capable of taking 640x-bit Grayscale images or 320x-bit RGB565 images at 30 FPS. Your OpenMV Cam comes with a 2.8mm lens on a standard M12 lens mount. If you want to use more specialized lenses with your OpenMV Cam you can easily buy and attach them yourself

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Surface-Wave Devices for Signal Processing, 19

ISBN: , SKU: , AUTHOR: D P Morgan, PUBLISHER: North Holland, NA

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