108,69 €
A Beginner's Guide to Image Preprocessing Techniques
A Beginner's Guide to Image Preprocessing Techniques
  • Išparduota
A Beginner's Guide to Image Preprocessing Techniques
A Beginner's Guide to Image Preprocessing Techniques
El. knyga:
108,69 €
For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and impro…

A Beginner's Guide to Image Preprocessing Techniques (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Įvertinimų nėra.
Įvertink ir tu! Visi atsiliepimai

Formatai:

108,69 € El. knyga

Aprašymas

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.

Key Features

  • Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description

  • Includes image data pre-processing for neural networks and deep learning

  • Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques

  • Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline

  • Details complications to resolve using image pre-processing
108,69 €
Prisijunkite ir už šią prekę
gausite 1,09 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Kaip skaityti el. knygas ACSM formatu?

Mažiausia kaina per 30 dienų: 108,69 €

Mažiausia kaina užfiksuota: Kaina nesikeitė


For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.

Key Features

  • Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description

  • Includes image data pre-processing for neural networks and deep learning

  • Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques

  • Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline

  • Details complications to resolve using image pre-processing

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)
Knygos.lt komentarų taisyklės
[{"option":"222","probability":1,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba631ba76d1782294065.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"221","probability":1.3,"style":{"backgroundColor":"#e1032e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba61ea9f381782294046.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"220","probability":1.6,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba60167d251782294017.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"219","probability":1.5,"style":{"backgroundColor":"#e2022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5ea1c47d1782293994.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"218","probability":1.5,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5d38b4a21782293971.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"217","probability":1.6,"style":{"backgroundColor":"#e3022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5b981b7a1782293945.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"216","probability":1.4,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba58b535551782293899.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"215","probability":0.1,"style":{"backgroundColor":"#ffe01a"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba53a6496f1782293818.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]