//
// HISTOGRAM Sample
// This sample shows how to use the Sample Grabber filter for video image processing.
// Conceptual background:
// A HISTOGRAM is just a frequency count of every pixel value in the image.
// There are various well-known mathematical operations that you can perform on an image
// using HISTOGRAMs, to enhance the image, etc.
// HISTOGRAM stretch (aka automatic gain control):
// Stretches the image HISTOGRAM to fill the entire range of values. This is a "point operation,"
// meaning each pixel is scaled to a new value, without examining the neighboring pixels. The
// HISTOGRAM stretch does not actually require you to calculate the full HISTOGRAM. The scaling factor
// is calculated from the minimum and maximum values in the image.
it is in image processing field. this code Read TIFF Image then it excute compute HISTOGRAM and HISTOGRAM equalization. after that it Write TIFFU unsigned Char.
This paper presents a novel technique to increase
the quality of medical images based on HISTOGRAM
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on HISTOGRAM of the
medical images and after that HISTOGRAM equalization
has been applied on the new HISTOGRAM. Our proposed
method in despite of its simplicity has better results in
compare to other usual methods based on HISTOGRAM
equalization. The quality of resulted images after
applying our proposed methods has been tested on a
database (medical images) with a confirmed criterion
by viewer. Also we have considered a mathematical
criterion for comparing our proposed algorithm with
other available methods for contrast enhancement.
Results show the better efficiency of the proposed
method.
