Python Computer Vision: Chapter 1 Image Processing basics, python Image Processing

Python Computer Vision: Chapter 1 Image Processing basics, python Image Processing
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Chapter 1 basics of image processing <Ol class = "toc" style = "margin: 20px; padding: 0px; list-style-type: none; list-style-position: outside; color: rgb (34,34, 34); font-family: 'helvetica Neue ', 'luxi Sans', 'dejavu Sans ', Tahoma, 'hiragino Sans G', 'Microsoft yahei', STHeiti; font-size: 14px; line-height: 22.3999996185303px ">
<Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-1" target = ""> 1.1 PIL-Python Image Library </a>
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<Li style = "padding-left: 20px"> <a style = "color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-1-1 "target =" "> 1.1.1 format conversion </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-1-2 "target =" "> 1.1.2 create a thumbnail </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-1-3 "target =" "> 1.1.3 copy and paste the area </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-1-4 "target =" "> 1.1.4 Resize and rotate </a> </li> </ol>
</Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-2" target = ""> 1.2 Matplotlib library </a>
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<Li style = "padding-left: 20px"> <a style = "color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-2-1 "target =" "> 1.2.1 drawing, drawing, and line </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-2-2 "target =" "> 1.2.2 image contour and histogram </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-2-4 "target =" "> 1.2.4 interactive comments </a> </li> </ol>
</Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3" target = ""> 1.3 NumPy library </a>
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<Li style = "padding-left: 20px"> <a style = "color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-1 "target =" "> 1.3.1 Image array representation </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-2 "target =" "> 1.3.2 grayscale transformation </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-3 "target =" "> 1.3-3 resize images </a> </li> </ol>
</Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-3" target = ""> 1.3.3 histogram equalization </a>
<Ol style = "margin: 0px; padding: 0px; list-style-type: none">
<Li style = "padding-left: 20px"> <a style = "color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-4 "target =" "> 1.3.4 image average </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-5 "target =" "> 1.3.5 Principal Component Analysis </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-3-6 "target =" "> 1.3.6 Pickle module </a> </li> </ol>
</Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-4" target = ""> 1.4 SciPy module </a>
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<Li style = "padding-left: 20px"> <a style = "color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-4-1 "target =" "> 1.4.1 Image Blur </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-4-2 "target =" "> 1.4.2 image difference </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-4-3 "target =" "> 1.4.3 morphology-object count </a> </li> <li style =" padding-left: 20px "> <a style =" color: rgb (221,17, 68) "href =" http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-4-4 "target =" "> 1.4.4 useful SciPy module </a> </li> </ol>
</Li> <a style = "color: rgb (221,17, 68)" href = "http://yongyuan.name/pcvwithpython/chapter1.html#sec-1-5" target = ""> 1.5 more advanced example: image Noise Reduction </a> </li> </ol>
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<H2 id = "sec-1-1" style = "font-size: 20px; margin: 20px 0px "> <a name =" t1 "target =" _ blank "> </a> 1.1 PIL-Python Image Library <P style = "margin-top: 1em; margin-bottom: 1em"> PIL (Python Imaging Library) the Image Library provides many common image processing and many useful basic image operations. PIL library <a style = "color: rgb (221,17, 68)" href = "http://www.pythonware.com/products/pil/" target = "_ blank"> [www.pythonware.com/products/pil/] </a>. The following is an example of reading an image from the original book P001-Fig1-1: </p>
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<Pre style = "margin-top: 10px; margin-bottom: 10px; margin-left: 10px; white-space: pre-wrap; word-wrap: break-word; line-height: 1.5 "> <code class =" language-python "style =" font-family: Las LAS, 'libation mono', Courier, monospace; font-size: 1em; border: none; background: rgb (238,238,238) "> <span class =" c "style =" color: rgb (64,128,128); font-style: italic "> #-*-coding: UTF-8-*-</span>
<Span class = "kn" style = "color: rgb (0,128, 0); font-weight: bold "> from </span> <span class =" nn "style =" color: rgb (255,); font-weight: bold "> PIL </span> <span class =" kn "style =" color: rgb (0,128, 0); font-weight: bold "> import </span> <span class =" n "> Image </span>
<Span class = "kn" style = "color: rgb (0,128, 0); font-weight: bold "> from </span> <span class =" nn "style =" color: rgb (255,); font-weight: bold "> pylab </span> <span class =" kn "style =" color: rgb (0,128, 0); font-weight: bold "> import </span> <span class =" o "style =" color: rgb (0, 102,102,102) "> * </span> <span class =" c "style =" color: rgb (64,128,128); font-style: italic ">#add Chinese font support </span>
<Span class = "kn" style = "color: rgb (0,128, 0); font-weight: bold "> from </span> <span class =" nn "style =" color: rgb (255,); font-weight: bold "> matplotlib. font_manager </span> <span class = "kn" style = "color: rgb (0,128, 0); font-weight: bold "> import </span> <span class =" n "> FontProperties </span>
<Span class = "n"> font </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" n "> FontProperties </span> <span class =" p "> (</span> <span class =" n"> fname </span> <span class = "o" style = "color: rgb (102,102,102) ">=</span> <span class =" s "style =" color: rgb (, 33) "> r" c: \ windows \ fonts \ SimSun. ttc "</span> <span class =" p ">, </span> <span class = "n"> size </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" mi "style =" color: rgb (102,102,102) "> 14 </span> <span class =" p ">) </span>
<Span class = "n"> figure </span> <span class = "p"> () </span> <span class = "n"> pil_im </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" n "> Image </span> <span class =" o "style =" color: rgb (102,102,102) ">. </span> <span class = "n"> open </span> <span class = "p"> (</span> <span class = "s" style =" color: rgb (186, 33, 33) "> '.. /data/empire.jpg '</span> <span class = "p">) </span>
<Span class = "n"> gray </span> <span class = "p"> () </span>
<Span class = "n"> subplot </span> <span class = "p"> (</span> <span class = "mi" style = "color: rgb (102,102,102) "> 121 </span> <span class =" p ">) </span>
<Span class = "n"> title </span> <span class = "p"> (</span> <span class = "s" style = "color: rgb (186, 33, 33) "> u 'original' </span> <span class =" p ">, </span> <span class = "n"> fontproperties </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" n "> font </span> <span class =" p ">) </span>
<Span class = "n"> axis </span> <span class = "p"> (</span> <span class = "s" style = "color: rgb (186, 33, 33) "> 'off' </span> <span class =" p ">) </span>
<Span class = "n"> imshow </span> <span class = "p"> (</span> <span class = "n"> pil_im </span> <span class = "p">) </span> <span class = "n"> pil_im </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" n "> Image </span> <span class =" o "style =" color: rgb (102,102,102) ">. </span> <span class = "n"> open </span> <span class = "p"> (</span> <span class = "s" style =" color: rgb (186, 33, 33) "> '.. /data/empire.jpg '</span> <span class = "p">) </span> <span class = "o" style = "color: rgb (102,102,102) ">. </span> <span class = "n"> convert </span> <span class = "p"> (</span> <span class = "s" style =" color: rgb (186, 33, 33) "> 'l' </span> <span class =" p ">) </span>
<Span class = "n"> subplot </span> <span class = "p"> (</span> <span class = "mi" style = "color: rgb (102,102,102) "> 122 </span> <span class =" p ">) </span>
<Span class = "n"> title </span> <span class = "p"> (</span> <span class = "s" style = "color: rgb (186, 33, 33) "> u 'grayscale out' </span> <span class =" p ">, </span> <span class = "n"> fontproperties </span> <span class = "o" style = "color: rgb (0, 102,102,102) ">=</span> <span class =" n "> font </span> <span class =" p ">) </span>
<Span class = "n"> axis </span> <span class = "p"> (</span> <span class = "s" style = "color: rgb (186, 33, 33) "> 'off' </span> <span class =" p ">) </span>
<Span class = "n"> imshow </span> <span class = "p"> (</span> <span class = "n"> pil_im </span> <span class = "p">) </span> <span class = "n"> show </span> <span class = "p"> () </span>
</Code> </pre>
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<P style = "margin-top: 1em; margin-bottom: 1em"> run the above code to get the first two pictures in the original book P002-Fig1-1, as shown below: