Abstract: A Method comprising the steps of, acquiring an input about the target object class to be searched within the image; associating a set of morphological and chromatic parameters to a pre-set initialization value range selected from a library on the basis of the input; processing the tissue image on the basis of the selected parameters via a first segmentation (based on object based thresholding, morphological filtering, active contouring) algorithm to identify objects within the desired target object class; providing a result set comprising the objects complying with parameters within the pre-set initialization value range; checking whether a count of objects within the result set is below a predefined threshold and either entering an initial loop if the count is below the predefined threshold, or entering an adaptation branch.

Abstract: Method of processing a digital image relating to a histological tissue, to vary a color by forcing it towards a target average color of a digital reference image. The method includes a segmentation of the image regions that express a hue in a neighborhood of the hue of a comparison color and the calculation of an average coloration of the segmented area and if this average coloration differs under a predetermined threshold from the comparison color, then calculation and application of a corrective factor for each point of the image that expresses a hue around the hue of the average color, if instead the average color deviates beyond the predetermined one threshold from the comparison staining, then (Step 5) the average staining is set as the comparison staining and the segmentation is resumed from (Step 2).

Abstract: Method of processing a digital image relating to a histological tissue, to vary a color by forcing it towards a target average color of a digital reference image. The method includes a segmentation of the image regions that express a hue in a neighborhood of the hue of a comparison color and the calculation of an average coloration of the segmented area and if this average coloration differs under a predetermined threshold from the comparison color, then calculation and application of a corrective factor for each point of the image that expresses a hue around the hue of the average color, if instead the average color deviates beyond the predetermined one threshold from the comparison staining, then (Step 5) the average staining is set as the comparison staining and the segmentation is resumed from (Step 2).

Abstract: A Method comprising the steps of, acquiring an input about the target object class to be searched within the image; associating a set of morphological and chromatic parameters to a pre-set initialization value range selected from a library on the basis of the input; processing the tissue image on the basis of the selected parameters via a first segmentation (based on object based thresholding, morphological filtering, active contouring) algorithm to identify objects within the desired target object class; providing a result set comprising the objects complying with parameters within the pre-set initialization value range; checking whether a count of objects within the result set is below a predefined threshold and either entering an initial loop if the count is below the predefined threshold, or entering an adaptation branch.