Hands-On Image Processing with Python\ (Record no. 21834)

MARC details
000 -BAŞLIK
Sabit Uzunluktaki Kontrol Alanı 03713nam a2200253 4500
003 - KONTROL NUMARASI KİMLİĞİ
Kontrol Alanı KOHA_mirakil
005 - EN SON İŞLEM TARİHİ ve ZAMANI
Kontrol Alanı 20240918133011.0
008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ
Sabit Alan 240918b tu ||||| |||| 00| 0 tur d
020 ## - ISBN - ULUSLARARASI STANDART KİTAP NUMARASI
Isbn 9781789343731
040 ## - KATALOGLAMA KAYNAĞI
Özgün Kataloglama Kurumu TR-IsBEY
Kataloglama Dili eng
Çeviri Kurumu TR-IsBEY
Açıklama Kuralları rda
041 ## - DİL KODU
Metin ya da ses kaydının dil kodu eng
050 0# - SINIFLAMA ve YER NUMARASI
Sınıflama Numarası TA 1632
Cuttur Numarası D49 2018
100 1# - KİŞİ ADI
Yazar Adı (Kişi adı) Dey, Sandipan
245 10 - ESER ADI BİLDİRİMİ
Başlık Hands-On Image Processing with Python\
Alt Eseradı vb. Sandipan Dey
250 ## - BASIM BİLDİRİMİ
Basım Bildirimi 1st edition
260 ## - YAYIN, DAĞITIM, VB.
Yayın Yeri United Kingdom:
Yayınevi Packt Publishing,
Yayın Tarihi 2018.
300 ## - FİZİKSEL TANIMLAMA
Sayfa, Cilt vb. 492 pages;
Boyutları 24 cm.
505 ## - İÇİNDEKİLER NOTU
İçindekiler Notu Getting started with Image Processing<br/>Sampling Fourier Transform<br/>Convolution and Frequency domain Filtering<br/>Image Enhancement<br/>Image Enhancement using Derivatives<br/>Morphological Image Processing<br/>Extracting Image Features and Descriptors<br/>Image Segmentation<br/>Classical Machine Learning Methods<br/>Learning in Image Processing - Image Classification with CNN<br/>Object Detection, Deep Segmentation and Transfer Learning<br/>Additional Problems in Image Processing
520 ## - ÖZET NOTU
Özet notu Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks.<br/><br/>Key Features<br/>Practical coverage of every image processing task with popular Python libraries<br/>Includes topics such as pseudo-coloring, noise smoothing, computing image descriptors<br/>Covers popular machine learning and deep learning techniques for complex image processing tasks<br/>Book Description<br/>Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python.<br/><br/>The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.<br/><br/>By the end of this book, we will have learned to implement various algorithms for efficient image processing.<br/><br/>What you will learn<br/>Perform basic data pre-processing tasks such as image denoising and spatial filtering in Python<br/>Implement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in Python<br/>Do morphological image processing and segment images with different algorithms<br/>Learn techniques to extract features from images and match images<br/>Write Python code to implement supervised / unsupervised machine learning algorithms for image processing<br/>Use deep learning models for image classification, segmentation, object detection and style transfer<br/>Who this book is for<br/>This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.
650 00 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ
Konusal terim veya coğrafi ad İmage processing
650 00 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ
Konusal terim veya coğrafi ad Python
900 ## - YEREL BİLGİ
Kontrol Hande Çalışkur
942 ## - EK GİRİŞ ÖGELERİ (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Geri Çekilme Durumu Kayıp Durumu Sınıflandırma Kaynağı Hasarlı Durumu Koha sıralama için normalleştirilmiş sınıflandırma Kredi için değil Koha itemnumber (otomatik oluşturulmuş) Kalıcı Konum Mevcut Konum Kayıt Tarih Edinim Kaynağı Para Birimi Toplam Ödünçverme Yer Numarası Demirbaş Numarası Son Görülme Tarihi Son Kontrol Tarihi Fatura Tarihi Gizli Not / Satın Alma Notu Materyal Türü
    Library of Congress Classification   TA1632 D49 02018   27167 Beykoz Üniversitesi Kütüphanesi Beykoz Üniversitesi Kütüphanesi 18/09/2024 Satınalma ₺ 1 TA 1632 D49 2018 00023215 07/04/2025 05/03/2025 10/09/2024 Asrın; Fatura No:ASR2024000000059;Abdul Aburas. Books