Hi,

Could you tell a little bit more about your context?

What kind of image are these: Color, grey levels...? What kind of information are you looking for? Shape, texture...?

Hi, i am working on color dermatological images (dermoscopic and macroscopic images) to detect a given lesion using pattern extraction techniques (such as lesion network, dot,...)

However, these images are encountered by many artifacts such as uneven illumination, shadow, low contrast between the helathy and unhealthy skin lesion, too much ,too much hair,...

So, i would like to compute the quality score but i don't know how?

Thank you Mr.Hubert Beaumont

Maybe you can have a look at the following publication of ours, which can be downloaded from research gate:

C.P. Loizou, T. Kasparis, and M. Polyviou, “Evaluation of wound healing process based on texture image analysis”, J. Biomed. Graph. & Comput., Vol. 3, No. 3, pp. 1- 13.

We have proposed a number of quality measures in order to evaluate the wound healing process. You may do this with by using objective or subjective measures. Subjective measures include evaluation by experts which they visually inspect and rate the images. Objective includes a number of quality metrics that can be extracted from the images and there are a lot. Please also have a look into some other publications of ours where quality evaluation was done in ultrasound images. The concept is the same.

C.P. Loizou, C.S. Pattichis, M. Pantziaris, T. Tyllis, A. Nicolaides, “Quality evaluation of ultrasound imaging in the carotid artery based on normalization and speckle reduction filtering,” Med. Biol. Eng. Comput.,” vol. 44, no. 5, pp. 414-426, 2006.

Hi,

could you please send me some sample images? Highly focussed on image analysis recently I read a study entitled "A Texture Based Pattern Recognition Approach to Distinguish Melanoma from Non-Melanoma Cells in Histopathological Tissue Microarray Sections".

For this study, the CellProfiler software was used, a software which I also use extensively. I really would be curious to give it a shot.

Hi Mr.Dominik Lenz, below some example stating different types of artifacts in dermatological images:too much hair, underexposed image, line marker, crusts, black frame .

Hi Mr. Belattar,

thanks for your fast response. I will check on it as soon as possible.

And your aim is to remove the artifacts or a quantitative analysis of the images?

Sincerely, Dominik Lenz

Hi Mr. Dominik ,you are welcome.

My  aim consists to clean up the image from the photographic artifacts and analyse the resulted image.

Sincerely, Khadidja Belattar,

The following content maybe helpful. There are several algorithms to compute the quality score of an image.

https://www.researchgate.net/publication/227787378_Automated_focusing_in_brightfield_microscopy_for_tuberculosis_detection

Article Automated focusing in bright‐field microscopy for tuberculos...