.. _news-meteoinfo_1.4.4:


******************************************
MeteoInfo 1.4.4 was released (2017-5-26)
******************************************

``imagelib`` package was added in mipylib and some image processing functions were provided.

Image flip:

::

    fn = 'D:/Temp/image/Lenna.png'
    lena = imagelib.imread(fn)
    subplot(1, 2, 1,aspect='equal', tickline=False)
    imshow(lena)
    subplot(1, 2, 2, aspect='equal', tickline=False)
    lena_1 = imagelib.flip(lena)
    imshow(lena_1)

.. image:: ../_static/image_flip.png

Image gray scale:

::

    fn = 'D:/Temp/image/Lenna.png'
    lena = imagelib.imread(fn)
    subplot(1, 2, 1,aspect='equal', tickline=False)
    imshow(lena)
    subplot(1, 2, 2, aspect='equal', tickline=False)
    lena_1 = imagelib.gray_scale(lena)
    imshow(lena_1)
    
.. image:: ../_static/image_gray_scale.png

Image emboss:

::

    fn = 'D:/Temp/image/Lenna.png'
    lena = imagelib.imread(fn)
    subplot(1, 2, 1,aspect='equal', tickline=False)
    imshow(lena)
    subplot(1, 2, 2, aspect='equal', tickline=False)
    lena_1 = imagelib.emboss(lena)
    imshow(lena_1)
    
.. image:: ../_static/image_emboss.png

Create Himawari 8 satellite true color image:

::

    #Add data file
    fn = r'C:\Temp\himawari8\NC_H08_20170508_0040_r14_FLDK.02701_02601.nc'
    f = addfile(fn)
    #Read data
    bdata = f['albedo_01'][:,:]
    gdata = f['albedo_02'][:,:]
    rdata = f['albedo_03'][:,:]
    bdata[bdata>1] = 1
    gdata[gdata>1] = 1
    rdata[rdata>1] = 1
    #Plot
    axesm()
    mlayer = shaperead('D:/Temp/map/country1.shp')
    geoshow(mlayer, edgecolor='g')
    layer = imshowm([rdata,gdata,bdata])
    #Adjust image
    imagelib.hsb_adjust(layer, h=0, s=0.1, b=0.2)
    title('Himarari 8 true color image example')
    
.. image:: ../_static/himawari8_true_color.png