使用Python+PIL查看两张相似图形的差异

PIL(http://www.pythonware.com/products/pil/)中包含很多图形处理库，主要是Image，Image库中包含三个类（Image、ImagePointHandler、ImageTransformHandler）及若干方法。

今天实验了一把，打开两个差异很小的图片，将其中一个反色处理，然后在将两个图像混合，就能比较清晰的看到差异的地方。

唔~~~~，这要是扩展一下，增加截图功能，可以做成“大家来找茬”之类游戏的作弊器了！！阿门~~~

代码如下：

import Image, ImageChops
im1 = Image.open('c:/1.bmp')
im2 = Image.open('c:/2.bmp')
im3 = ImageChops.invert(im2)
Image.blend(im1,im3,0.5).show()

原始图片如下：

1.bmp

2.bmp

混合后结果：

附：PIL.Image库说明文档

PIL.Image

#2009-11-15flPILrelease1.1.7

Classes

Image
ImagePointHandler
ImageTransformHandler

class Image

Methods defined here:

__getattr__(self, name)

__init__(self)

__repr__(self)

convert(self, mode =None, data =None, dither =None, palette =0, colors =256)

Converttootherpixelformat

copy(self)

Copyrasterdata

复制一个新的对象

crop(self, box =None)

Cropregionfromimage

draft(self, mode, size)

Configureimagedecoder

filter(self, filter)

Applyenvironmentfiltertoimage

fromstring(self, data, decoder_name ='raw', *args)

Loaddatatoimagefrombinarystring

从原始图像数据中加载图像，一般用来从剪切板中获取图像

getbands(self)

Getbandnames

getbbox(self)

Getboundingboxofactualdata(non-zeropixels)inimage

获取当前图像在实际图片中的范围

getcolors(self, maxcolors =256)

Getcolorsfromimage,uptogivenlimit

getdata(self, band =None)

Getimagedataassequenceobject.

获取图像数据列表。如果指定band，就获取这个颜色通道的值得列表

print im.getdata()[0]
(253,23,34)

getextrema(self)

Getmin/maxvalue
getim(self): GetPyCObjectpointertointernalimagememory
getpalette(self): Getpalettecontents.
getpixel(self, xy): Getpixelvalue; 获取每个坐标像素点的RGB值。参数xy格式为(x,y)
getprojection(self): Getprojectiontoxandyaxes
histogram(self, mask =None, extrema =None): Takehistogramofimage
load(self): Explicitlyloadpixeldata.
offset(self, xoffset, yoffset =None): (deprecated)Offsetimageinhorizontaland/orverticaldirection
paste(self, im, box =None, mask =None): Pasteotherimageintoregion
point(self, lut, mode =None): Mapimagethroughlookuptable
putalpha(self, alpha): Setalphalayer
putdata(self, data, scale =1.0, offset =0.0): Putdatafromasequenceobjectintoanimage.
putpalette(self, data, rawmode ='RGB'): Putpalettedataintoanimage.
putpixel(self, xy, value): Setpixelvalue; 设置某坐标像素点值
quantize(self, colors =256, method =0, kmeans =0, palette =None)
resize(self, size, resample =0): Resizeimage; 重新设置图像大小
rotate(self, angle, resample =0, expand =0): Rotateimage.Anglegivenasdegreescounter-clockwise.; 旋转图像
save(self, fp, format =None, **params): Saveimagetofileorstream; 保存图像
seek(self, frame): Seektogivenframeinsequencefile; 定位到动画某一帧，一般用于gif格式的文件图片
show(self, title =None, command =None): Displayimage(fordebugpurposesonly); 现实图像，调用默认的图像浏览器
split(self): Splitimageintobands; 将图像按照RGB分别解析，返回三个Image对象
tell(self): Returncurrentframenumber; 返回当前帧号
thumbnail(self, size, resample =0): Createthumbnailrepresentation(modifiesimageinplace); 创建缩略图，主要用来修改图像大小和清晰度，以便生产较小的文件
tobitmap(self, name ='image'): ReturnimageasanXBMbitmap
tostring(self, encoder_name ='raw', *args): Returnimageasabinarystring
transform(self, size, method, data =None, resample =0, fill =1): Transformimage
transpose(self, method): Transposeimage(fliporrotatein90degreesteps)
verify(self): Verifyfilecontents.

Data and other attributes defined here:

format = None

mode

format_description = None

classImagePointHandler

classImageTransformHandler

Functions

blend(im1, im2, alpha): Interpolatebetweenimages.; 将两张图片混合到一起。参数alpha是im1与im2的混合权重，范围为[0,1]

composite(image1, image2, mask): Createcompositeimagebyblendingimagesusingatransparencymask

eval(image, *args): Evaluateimageexpression

fromarray(obj, mode =None)

frombuffer(mode, size, data, decoder_name ='raw', *args): Loadimagefromstringorbuffer

fromstring(mode, size, data, decoder_name ='raw', *args): Loadimagefromstring

getmodebandnames(mode)

getmodebands(mode)

getmodebase(mode)

getmodetype(mode)

init(): Loadallfileformatdrivers.

isDirectory(f)

isImageType(t)

isNumberType(...): isNumberType(a)--ReturnTrueifahasanumerictype,Falseotherwise.

isSequenceType(...): isSequenceType(a)--ReturnTrueifahasasequencetype,Falseotherwise.

isStringType(t): ## #(Internal)Checksifanobjectisastring.Ifthecurrent #PythonversionsupportsUnicode,thischecksforboth8-bit #andUnicodestrings.

isTupleType(t)

merge(mode, bands): Mergeasetofsinglebandimagesintoanewmultibandimage.

new(mode, size, color =0): Createanewimage; 创建一个Image对象

open(fp, mode ='r'): Openanimagefile,withoutloadingtherasterdata; 打开图片文件

preinit(): Loadstandardfileformatdrivers.

register_extension(id, extension)

register_mime(id, mimetype)

register_open(id, factory, accept =None)

register_save(id, driver)

更多相关文章

随机推荐