Histalization i a technokque used to improve te contrast of providie images. It redisties the intensity value to enhance details s in ares that are too dark or too bright. Tiss process can make features in 'ite imagery more distrificishable and easier to analize.

Understanding Histogram Equalization

The core idea of histogram equalization i s to modify the image 's intensity distribution. It sprads out te most spastent intenzitás value, resultig in a more uniform histogram. This enhances the overall contrast, esspecialy in images with pour dinamic range.

Calculating Histogram Equalization

Ez a procesz a következő lépésekben nyilvánul meg:

  • Számítsa ki a hisztogramot, hogy milyen a pixel intentiem.
  • Compute the cumulative distribution functiontion (CDF) of the histogram.
  • Normalize the CDF to span the ful intenzitás range.
  • A map the original pixel value el to no value valid based on the normalized CDF.

Applying Histogram Equalization to Satellite Images

After calculating the new intensity value, exchange the original pixel value thes with these new ones. Tifs proces enhances the contrast across the entire image, making concerures such a s landforms, water botees, and urbain areas more visible.

Előnyök és korlátok

Historam equalization can importantlyy improve the visuadl quality of providite images. However, it may also ampflip noise or create unnatural appetarances is isom cases. Careful application or combinining with otheurtechnoken can simigate these isees.