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You're reading from  Java for Data Science

Product typeBook
Published inJan 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785280115
Edition1st Edition
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Authors (2):
Richard M. Reese
Richard M. Reese
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Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java
Read more about Richard M. Reese

Jennifer L. Reese
Jennifer L. Reese
author image
Jennifer L. Reese

Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education. She has co-authored two books: Java for Data Science and Java 7 New Features Cookbook. She previously worked as a software engineer. In her free time she enjoys reading, cooking, and traveling—especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.
Read more about Jennifer L. Reese

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Cleaning images


While image processing is a complex task, we will introduce a few techniques to clean and extract information from an image. This will provide the reader with some insight into image processing. We will also demonstrate how to extract text data from an image using Optical Character Recognition (OCR).

There are several techniques used to improve the quality of an image. Many of these require tweaking of parameters to get the improvement desired. We will demonstrate how to:

  • Enhance an image's contrast

  • Smooth an image

  • Brighten an image

  • Resize an image

  • Convert images to different formats

We will use OpenCV (http://opencv.org/), an open source project for image processing. There are several classes that we will use:

  • Mat: This represents an n-dimensional array holding image data such as channel, grayscale, or color values

  • Imgproc: Possesses many methods that process an image

  • Imgcodecs: Possesses methods to read and write image files

The OpenCV Javadocs is found at http://docs.opencv.org...

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Java for Data Science
Published in: Jan 2017Publisher: PacktISBN-13: 9781785280115

Authors (2)

author image
Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java
Read more about Richard M. Reese

author image
Jennifer L. Reese

Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education. She has co-authored two books: Java for Data Science and Java 7 New Features Cookbook. She previously worked as a software engineer. In her free time she enjoys reading, cooking, and traveling—especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.
Read more about Jennifer L. Reese