Abstract: A computer system for seeding a formulation engine receives spectrometric data from a target coating. The computer system processes the spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants. Each colorant within the set of colorants is associated with a calculated probability that the associated colorant is present within the target coating. Additionally, the computer system adds at least a portion of the colorants within the set of colorants to a formulation engine. The portion of the colorants is added to the formulation engine in order of decreasing probability. Further, the computer system generates, from an output of the formulation engine, a coating formulation that is calculated to match the target coating within a predetermined qualitative threshold.

Abstract: A computer system for identifying coating texture effects initiates a set of colorant decision points. The colorant decision points identify a probability that an effect pigment type is present within a target coating. The computer system calculates in parallel each colorant decision point within the set of colorant decision points. Each colorant decision point provides a probability that a different effect pigment type is present within the target coating. The computer system then calculates a set of final colorant probabilities. Each final colorant probability within the set of final colorant probabilities is calculated by combining a unique subset of probabilities calculated by the first set of colorant decision points. Additionally, each final colorant probability indicates a probability that an associated colorant is present within the target coating.

Abstract: A computer system for seeding a formulation engine receives spectrometric data from a target coating. The computer system processes the spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants. Each colorant within the set of colorants is associated with a calculated probability that the associated colorant is present within the target coating. Additionally, the computer system adds at least a portion of the colorants within the set of colorants to a formulation engine. The portion of the colorants is added to the formulation engine in order of decreasing probability. Further, the computer system generates, from an output of the formulation engine, a coating formulation that is calculated to match the target coating within a predetermined qualitative threshold.

Abstract: A computer system for seeding a formulation engine receives spectrometric data from a target coating. The computer system processes the spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants. Each colorant within the set of colorants is associated with a calculated probability that the associated colorant is present within the target coating. Additionally, the computer system adds at least a portion of the colorants within the set of colorants to a formulation engine. The portion of the colorants is added to the formulation engine in order of decreasing probability. Further, the computer system generates, from an output of the formulation engine, a coating formulation that is calculated to match the target coating within a predetermined qualitative threshold.

Abstract: A computer system for analyzing a paint sample and generating values that describe various attributes of a proposed matching color can comprise instructions for receiving from a coating-measurement instrument one or more coating variables of a target coating. The system can also comprise instructions for calculating coating texture ratings for the multiple respective proposed coating matches. The coating texture ratings can indicate a similarity between the one or more coating texture characteristics of the target coating and respective coating texture characteristics of each of the respective proposed coating matches. Additionally, the system can comprise instructions for sending instructions to generate a user interface that depicts overall rankings of at least a portion of the proposed coating matches. The overall rankings indicate a similarity between the target coating and each of the at least a portion of the proposed coating matches with respect to the coating texture ratings.

Abstract: A computer system for optimizing a coating formulation through a user interface processes spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants that are each associated with a calculated probability that the associated colorant is present within a target coating. The system identifies a proposed group of colorants from within the set of colorants that are associated with the highest calculated probabilities of being present within the target coating. The system displays on a graphical user interface an indication of each colorant within the proposed group of colorants. The system receives input through one or more selectable interface elements that define a user-defined group of colorants selected from the proposed group of colorants. The system generates a coating formulation, wherein the coating formulation is generated from the user-defined group of colorants.

Abstract: A computerized method for displaying matches of a paint sample to various proposed paint coatings includes receiving one or more coating texture variables of a target coating from a coating-measurement instrument. The method also includes displaying, on a digital display device, effect texture ratings for multiple respective proposed coating matches on a digital display device, wherein the effect texture ratings indicate a similarity between the one or more coating texture variables of the target coating and respective coating textures variables of each of the respective proposed coating matches. In addition, the method includes ordering the proposed coating matches, wherein the ordering indicates a strength in similarity between the target coating and each of the proposed coating matches with respect to the effect texture ratings.

Abstract: A computer system for analyzing a paint sample and generating values that describe various attributes of a proposed matching color can comprise instructions for receiving from a coating-measurement instrument one or more coating variables of a target coating. The system can also comprise instructions for calculating coating texture ratings for the multiple respective proposed coating matches. The coating texture ratings can indicate a similarity between the one or more coating texture characteristics of the target coating and respective coating texture characteristics of each of the respective proposed coating matches. Additionally, the system can comprise instructions for sending instructions to generate a user interface that depicts overall rankings of at least a portion of the proposed coating matches. The overall rankings indicate a similarity between the target coating and each of the at least a portion of the proposed coating matches with respect to the coating texture ratings.

Abstract: A computer system for seeding a formulation engine receives spectrometric data from a target coating. The computer system processes the spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants. Each colorant within the set of colorants is associated with a calculated probability that the associated colorant is present within the target coating. Additionally, the computer system adds at least a portion of the colorants within the set of colorants to a formulation engine. The portion of the colorants is added to the formulation engine in order of decreasing probability. Further, the computer system generates, from an output of the formulation engine, a coating formulation that is calculated to match the target coating within a predetermined qualitative threshold.

Abstract: A computer system for optimizing a coating formulation through a user interface processes spectrometric data through a probabilistic colorant analysis. The probabilistic colorant analysis generates a set of colorants that are each associated with a calculated probability that the associated colorant is present within a target coating. The system identifies a proposed group of colorants from within the set of colorants that are associated with the highest calculated probabilities of being present within the target coating. The system displays on a graphical user interface an indication of each colorant within the proposed group of colorants. The system receives input through one or more selectable interface elements that define a user-defined group of colorants selected from the proposed group of colorants. The system generates a coating formulation, wherein the coating formulation is generated from the user-defined group of colorants.

Abstract: A computer system for identifying coating texture effects initiates a set of colorant decision points. The colorant decision points identifying a probability that an effect pigment type is present within a target coating. The computer system calculates in parallel each colorant decision point within the set of colorant decision points. Each colorant decision point provides a probability that a different effect pigment type is present within the target coating. The computer system then calculates a set of final colorant probabilities. Each final colorant probability within the set of final colorant probabilities is calculated by combining a unique subset of probabilities calculated by the first set of colorant decision points. Additionally, each final colorant probability indicates a probability that an associated colorant is present within the target coating.

Abstract: A computerized method for displaying matches of a paint sample to various proposed paint coatings includes receiving one or more coating texture variables of a target coating from a coating-measurement instrument. The method also includes displaying, on a digital display device, effect texture ratings for multiple respective proposed coating matches on a digital display device, wherein the effect texture ratings indicate a similarity between the one or more coating texture variables of the target coating and respective coating textures variables of each of the respective proposed coating matches. In addition, the method includes ordering the proposed coating matches, wherein the ordering indicates a strength in similarity between the target coating and each of the proposed coating matches with respect to the effect texture ratings.