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+ module CrImage::Operation::HistogramEqualize
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+ Overview
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Provides methods for histogram and histogram equalization. Follows method outlined here
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If an image is particularly dark or particularly bright with low contrast, the Operation::Contrast#contrast
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image.contrast(10 ).save("contrast.jpg" )
+image.histogram_equalize.save("equalized.jpg" )
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This method does not work well when a given method has a bimodal distribution of color pixels. For example:
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+ Direct including types
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+ Defined in:
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+ cr-image/operation/histogram.cr
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+ Instance Method Summary
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+ Instance Method Detail
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+ def
histogram_equalize :
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+ def
histogram_equalize! :
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+ class CrImage::Operation::HistogramEqualize::Histogram
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+ Overview
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A histogram of an Image ChannelType
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+ cr-image/operation/histogram.cr
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+ Constructors
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+ Instance Method Summary
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+ Constructor Detail
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+ Instance Method Detail
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+ def
cdf : Hash(UInt8, Float64)
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Get the cumulative distribution for the image's histogram
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counts : Hash(UInt8, Int32)
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Get the raw counts for a given pixel value (0-255) in the image
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equalize : Hash(UInt8, UInt8)
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Remap the cumalitive distribution of pixels to get a new, more spread out pixel value
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normalize : Hash(UInt8, Float64)
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Get pixel counts normalized - all values between 0.0 and 1.0
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