The application of local grey level histograms to organelle classification in histological images.

The performance of a histogram matching algorithm was evaluated for the classification of organelles in histological images. The test set used for this investigation comprised several digital images of sheep pituitary gland captured using a CCD camera linked to a Tunnelling Electron Microscope. Results show that the normalized image histogram is a good feature to choose as the basis of object recognition in biological images.