Python图像处理库PIL -- 学习资源

Resources

官方指南PIL Handbook(建议看英文，翻译) pil下载 安装中文指南 from the PythonWare PIL home page

推荐先看Python Imaging Library (PIL) Document(Web form,PDF document，不能访问这里下载) from New Mexico Tech

Abstract

Describes an image-processing library for the Python programming language.

Table of Contents

1. Introduction

2. Definitions

2.1. Band

2.2. Modes

2.3. Sizes

2.4. Coordinates

2.5. Angles

2.6. Bboxes (bounding boxes)

2.7. Colors

2.8. Filters

3. Creating objects of class Image

3.1. Attributes of the Image object

3.2. Methods on the Image object

4. The ImageDraw module

5. Image enhancement: the ImageFilter module

6. The ImageFont module

7. The ImageTk module

8. Supported file formats

PPT:PIL Python图像处理模块

还有序媛的博文：

Python图像处理库(PIL)--简介和基本概念

Python图像处理库(PIL)--Image,ImageDraw,ImageChops模块介绍

 

一些博文：

python image 图像库 操作手册

Python完成简单图像处理任务

Python图像处理常用操作技巧

Python图形图像处理（使用PIL）

python图形处理库Python Image library

怎样使用Python图像处理?

python图形处理库PIL

Python图形图像处理库的介绍

利用PIL剪切出正方形图片

python图形处理库PIL(Python Image Library)

PIL-python的图像处理模块

Python图像处理的好处所在

PIL Tutorial: Converting Between PNG and GIF

Python Cookbook -Chapter 11, introduction by Fredrik Lundh

Recipe 11.7. Converting Among Image Formats

This chapter contains recipes for common GUI tasks, mostly with Tkinter, but also a smattering of wxPython, Qt, image processing, and GUI recipes specific to Jython (for JVMJava Virtual Machine), Mac OS X, and IronPython (for dotNET).

Fredrik Lundh, also known as the eff-bot, is the CTO of Secret Labs AB, a Swedish Python-focused company providing a variety of products and technologies. Fredrik is the world's leading expert on Tkinter (the most popular GUI toolkit for Python), as well as the main author of the Python Imaging Library (PIL).He is also the author of Python Standard Library (O'Reilly), which is a good complement to this volume and focuses on the modules in the standard Python library. Finally, he is a prolific contributor to comp.lang.python, helping novices and experts alike.

Google App Engine-图片 Python API 概述 Python 使用入门指南

 

在python中使用OpenCV

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更强大的图像处理的功能可以使用PyOpencv库

《用Python做科学计算》： Chapter12 OpenCV-图像处理和计算机视觉1  OpenCV-图像处理和计算机视觉2

OpenCV中文网站： OpenCV 的Python接口  Cv中文参考手册 - 图像处理

 

Pyfun的教程：Python 图像处理系列

python图像处理教程一:反色

python图像处理教程二:镜像

python图像处理教程三:平移

python图像处理教程四:旋转

python图像处理教程五:缩放

python图像处理教程六:错切

python图像处理教程七:计算直方图

python图像处理教程八:直方图均衡化(Histogram Equalization)

python图像处理教程九:计算直方图

python图像处理教程十:空间域图像平滑

python图像处理教程十一:空间域图像锐化(边缘检测)

python图像处理教程十二:伪彩色增强

python图像处理教程十三:二值图腐蚀和膨胀、开闭

python图像处理教程十四:灰度图腐蚀和膨胀、开闭

python图像处理教程十五: 图像的傅立叶变换

python图像处理教程十六:图像的细化(骨架抽取)

转载于:https://www.cnblogs.com/wei-li/archive/2012/04/19/2445126.html