Image Processing with Python
Home > Computing and Information Technology > Computer science > Image processing > Image Processing with Python: Embedding image processing to boost the computer vision and machine vision
Image Processing with Python: Embedding image processing to boost the computer vision and machine vision

Image Processing with Python: Embedding image processing to boost the computer vision and machine vision

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

The course will help you establish strong foundation in image processing using Python by walking you through real fundamentals of digital image processing and application of each with practical assignments. About This Book * The best resource to learn the fundamentals of image processing is to observe different datasets which are targeting different real-life problem related to computer vision. *A step-by-step tutorial for each and every part of digital image processing to provide a bigger picture of what all can be achieved by deep diving into any of those sub-fields. *We'll not only cover the topics of image processing but also suggest their possible applications on some major and popular problems. Who This Book Is For In my experience so far as a software engineer, researcher, or trainer at meetup groups, one of the most common questions I have heard is “what we do in image processing? Where it is required today as we have deep learning? ” When I narrowed down, these are generally engineering students, developers, or researchers, often with a good background in writing code and using computational and numerical tools. People who are looking to learn best practices or kickstart in the field of computer vision should definitely look forward to this course. With many projects coming in computer vision domain which can help in betterment of society every industry and academia should have this knowledge. This set of skills will become more important when you are working on some real image data where it has so many different problems related to size, resolution, noise and so on. Every organization looks for a problem solver where the solution can cater to multiple problems. We are not just teaching image processing fundamentals but also how to use it in your project with libraries available in Python. What You Will Learn * Explore various image and video formats *Learn to enhance the quality of given images *Apply image processing in various major applications such as motion detection, object detection, and much more *Identify the difference between vector and scaler images. This can be useful for the applications related to geospatial data. *Extract features from given images and to feed them in neural networks. This can be crucially essential in deep learning techniques. In Detail Today data is unstructured and mainly can be found in an image or video format. The demand to understand such nuances of image processing is more than before. It gives more space to playaround. This can be used and will be benefited in many areas such as robotics, geospatial mapping,e-commerce, publication, and automation. This course will cover the basics of image processing, motion detection with video processing, and 3D construction. OpenCV package in Python will be used for the practical demonstration. Other products are also available in market such as Matlab, but OpenCV is open source and is mainly focused to perform computer vision in real time. This course helps to get the basic knowledge about image and video processing. It will prepare you to play around with the concepts of image processing in areas such deep learning. It will help to develop a deep understanding on the techniques and where to use on image. This course will specially helps you to acquire additional skills required for the job.


Best Sellers


Product Details
  • ISBN-13: 9781838556129
  • Binding: Paperback
  • Language: English
  • Sub Title: Embedding image processing to boost the computer vision and machine vision
  • ISBN-10: 1838556125
  • Height: 235 mm
  • No of Pages: 423
  • Width: 191 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Image Processing with Python: Embedding image processing to boost the computer vision and machine vision
-
Image Processing with Python: Embedding image processing to boost the computer vision and machine vision
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Image Processing with Python: Embedding image processing to boost the computer vision and machine vision

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!