4 results about "Chromatic contrast" patented technology

A system (10) and a method are provided, the method comprising the steps of S1) illuminating a portion (Aj) of an object (A) by a light beam having a selective respective illumination wavelength ([lambda] i) under respective illumination conditions; s2) acquiring a corresponding monochromatic digital image () representing the portion (Aj) under a corresponding illumination condition; s3) repeating steps S1 and S2 for a plurality of predetermined irradiation conditions () and for each portion (Aj) whose chromaticity uniformity needs to be compared; s4) calculating, for each monochromatic digital image (), a respective luminous intensity value () representing the luminous intensity reflected by the portion Aj under the respective illumination conditions; s5) for each combination () comprising a first portion (Ah) and a second portion (Ak) of the object (A), calculating, from a mathematical model (M) as a function of the luminous intensity value (), respective chromaticity contrast values representing the chromaticity uniformity of these portions (Ah, Ak), and S6) outputting uniformity data (D) representing the chromaticity uniformity of the portions (A1,..., Aj,..., Am) from the chromaticity contrast values ().

The application discloses a method and system for identifying the state of Astragalus membranaceus. The method comprises the following steps: acquiring a surface image of healthy Astragalus membranaceus and a surface image of Astragalus membranaceus to be identified, extracting a local chroma contrast vector from a healthy area and fitting a bivariate Gaussian mixture model to establish a chroma contrast distribution model of the current production batch; performing multi-scale local chroma contrast coding and directional gradient coding on the surface image of Astragalus membranaceus to be identified, counting the joint occurrence of the chroma contrast mode and the directional gradient mode and performing multi-scale fusion to obtain a joint feature vector, and determining the state of Astragalus membranaceus according to the joint feature vector. The joint feature vector can also be used to form a visual fingerprint and be associated with production batch data to perform causal diagram learning, intervention inference and counterfactual prediction.

A lens element comprising: a vision zone; and within at least part of the vision zone, chromatic light-scattering elements defined as elements configured for selective light scattering in at least one predetermined wavelength range, thereby inducing chromatic contrast reduction across said at least part of the vision zone.

The application provides a chroma contrast enhancement method, which comprises the following steps: transforming a first pixel from a first color space to a second color space; combining the two chroma components of the first pixel into a vector and calculating the length of the vector when the luminance component is between a preset maximum luminance and a preset minimum luminance; calculating an amplification coefficient of the first pixel according to the length of the vector; enhancing the two chroma components of the first pixel by using the amplification coefficient, wherein the two enhanced chroma components and the luminance component of the first pixel constitute a second pixel; and converting the second pixel from the second color space to the first color space to obtain the first pixel after enhancement. The chroma contrast enhancement method provided by the application can increase the difference between pixel colors while keeping the luminance of the pixel unchanged.