It is a method that improves the contrast in an image, in order to stretch out the intensity range.
img_ret=cv_equalizehist_path(Path)
Input the path of Image
Image returned after applying method of equalizing Histogram
To Equalize the Histogram by equalizing the intensity at different places in Image.
Histogram equalization is good when histogram of the image is confined to a particular region. It wont work good in places where there is large intensity variations where histogram covers a large region, ie both bright and dark pixels are present fir more details see: http://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_histograms/py_histogram_equalization/py_histogram_equalization.html