Abstract: A system comprising at least one hardware processor and a non-transitory computer-readable storage medium having stored thereon program code, the program code executable by the at least one hardware processor to receive n images, each depicting a tongue of a subject, preprocess then images, wherein the preprocessing comprises at least one of image selection and image adjustment, thereby obtaining n? images, produce m presentations of each of the n? images using at least one feature enhancing algorithm, classify the n?*m presentations into classes by applying a machine learning algorithm on the n?*m presentations, wherein the classes comprise at least a positive for gastrointestinal disorders and a negative for gastrointestinal disorders, and identify the subject as suffering from a gastrointestinal disorder when at least a predetermined fraction/percentage of the n?*m presentations are classified as being positive for gastrointestinal disorders.

Abstract: A method comprising: receiving a radiograph of at least a portion of a patient's body, wherein the radiograph is a digital grayscale image, and wherein each pixel of the grayscale image corresponds to a localized exposure index (EI) value; generating an HSL (Hue-Saturation-Lightness) image from the radiograph, wherein: a hue channel and a saturation channel of the HSL image are generated based on the localized EI values, a luminance channel of the HSL image is generated based on the intensity values of the pixels; and transforming the HSL image to an RGB image which conveys both the portion of the radiograph and the localized EI values.

Abstract: A method comprising: receiving a radiograph of at least a portion of a patient's body, wherein the radiograph is a digital grayscale image, and wherein each pixel of the grayscale image corresponds to a localized exposure index (EI) value; generating an HSL (Hue-Saturation-Lightness) image from the radiograph, wherein: a hue channel and a saturation channel of the HSL image are generated based on the localized EI values, a luminance channel of the HSL image is generated based on the intensity values of the pixels; and transforming the HSL image to an RGB image which conveys both the portion of the radiograph and the localized EI values.

Abstract: A color defined by a chroma point and by a luma value is adjusted by defining a reference chroma point and shifting the chroma point towards the reference point if the chroma point is within a predefined tilted rectangle in the chroma coordinate plane that encloses the reference point; or if the chroma point is within both of two predefined polygons, in the chroma coordinate plane, that enclose the reference point; or if the luma value is within a predefined luma range. Preferably, the two polygons are a rectangle and a rhombus. The chroma point is shifted using a continuous shift function that vanishes on the rectangle and on the rhombus.

Abstract: The contrast of a digital image is enhanced by forming a histogram of the luma values of an active area of the image, computing “initial” bin indices that partition the histogram into bins of substantially equal population, mapping the “initial” bin indices into “final” bin indices that are more uniformly spaced than the “initial” bin indices, and adjusting the luma values of all the pixels in accordance with the “final” bin indices.

Abstract: The contrast of a digital image is enhanced by forming a histogram of the luma values of an active area of the image, computing “initial” bin indices that partition the histogram into bins of substantially equal population, mapping the “initial” bin indices into “final” bin indices that are more uniformly spaced than the “initial” bin indices, and adjusting the luma values of all the pixels in accordance with the “final” bin indices.

Abstract: A color defined by a chroma point and by a luma value is adjusted by defining a reference chroma point and shifting the chroma point towards the reference point if the chroma point is within a predefined tilted rectangle in the chroma coordinate plane that encloses the reference point; or if the chroma point is within both of two predefined polygons, in the chroma coordinate plane, that enclose the reference point; or if the luma value is within a predefined luma range. Preferably, the two polygons are a rectangle and a rhombus. The chroma point is shifted using a continuous shift function that vanishes on the rectangle and on the rhombus.