Systems and methods for creating automated faux-manual markings on digital images imitating manual inspection results
Methods and systems for automated faux-manual image-marking of a digital image are disclosed, including a method comprising obtaining results of an automated analysis of one or more digital image indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital image; applying automatically, on the one or more digital image, with one or more computer processors, standardized markings indicative of the location in the image of the structure abnormalities of the structure depicted in the image; and generating, automatically with the one or more computer processors, one or more faux-manual markings by modifying one or more of the standardized markings, utilizing one or more image-manipulation algorithm, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world.
1. A computer system storing computer readable instructions that, when executed by the computer system, cause the computer system to perform the following:
obtain results of an automated analysis of one or more digital images indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital images;
apply, automatically, on the one or more digital images, standardized markings indicative of at least a location in the digital image of the structure abnormalities of the structure depicted in the digital image; and
generate, automatically, one or more faux-manual markings on the digital image by modifying one or more of the standardized markings, utilizing one or more image-manipulation algorithm, including utilizing one or more randomization algorithm, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world.
2. The computer system of claim 1 , wherein utilizing the one or more image-manipulation algorithm includes utilizing one or more of the following: a randomized geometry-based function and a parametric function.
3. The computer system of claim 2 , wherein the parametric function is a Bézier curve.
4. The computer system of claim 1 , wherein the one or more faux-manual markings includes a first faux-manual marking having characteristics comprising a first width, a first length, a first thickness, and a first density, and wherein generating the faux-manual markings comprises varying one or more of the first width, the first length, the first thickness, and the first density within the first faux-manual marking.
5. The computer system of claim 1 , wherein the one or more faux-manual markings includes a first faux-manual marking having first characteristics comprising a first width, a first length, a first thickness, and a first density, and wherein the one or more faux-manual markings includes a second faux-manual marking having second characteristics comprising a second width, a second length, a second thickness, and a second density, and wherein generating the first and second faux-manual markings comprises varying one or more of the first characteristics compared to one or more of the second characteristics.
6. The computer system of claim 1 , further comprising indicating levels of extent and/or severity of the one or more structure abnormality as colors of the faux-manual markings on the digital image.
7. The computer system of claim 1 , further comprising indicating a level of confidence of the digital image of the structure containing the one or more structure abnormality as colors of the faux-manual markings on the digital image.
8. A computer system storing computer readable instructions that, when executed by the computer system, cause the computer system to perform the following: obtain results of an automated analysis of one or more digital images indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital images, wherein the automated analysis utilizes one or more of machine learning and artificial intelligence;
apply, automatically, on the one or more digital images, standardized markings indicative of at least a location in the digital image of the structure abnormalities of the structure depicted in the digital image; and
generate, automatically, one or more faux-manual markings on the digital image by modifying one or more of the standardized markings, utilizing one or more image-manipulation algorithm, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world.
9. The computer system of claim 5 , wherein generating the one or more faux-manual markings comprises utilizing one or more randomization algorithm.
10. A computer system storing computer readable instructions that, when executed by the computer system, cause the computer system to perform the following:
obtaining results of an automated analysis of one or more digital images indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital images;
creating, automatically, a report depicting the results including one or more of the digital images depicting the one or more portions of the structure showing the structure abnormalities; and
generating, automatically, a plurality of faux-manual markings applied to the one or more digital images to indicate a location of the structure abnormalities on the one or more portions of the structure depicted in the one or more digital images, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world, wherein generating the plurality of faux-manual markings comprises utilizing one or more randomization algorithm.
11. The computer system of claim 10 , wherein generating, automatically, the plurality of faux-manual markings comprises utilizing one or more image-manipulation algorithm includes utilizing one or more of the following: a randomized geometry-based function and a parametric function.
12. The computer system of claim 11 , wherein the parametric function is a Bézier curve.
13. The computer system of claim 10 , wherein the plurality of faux-manual markings includes a first faux-manual marking having characteristics comprising a first width, a first length, a first thickness, and a first density, and wherein generating the plurality of faux-manual markings comprises varying one or more of the first width, the first length, the first thickness, and the first density within the first faux-manual marking.
14. The computer system of claim 10 , wherein the plurality of faux-manual markings includes a first faux-manual marking having first characteristics comprising a first width, a first length, a first thickness, and a first density, and the plurality of faux-manual markings includes a second faux-manual marking having second characteristics comprising a second width, a second length, a second thickness, and a second density, and wherein generating the plurality of faux-manual markings comprises varying one or more of the first characteristics compared to one or more of the second characteristics.
15. The computer system of claim 10 , further comprising indicating levels of extent and/or severity of the one or more structure abnormality as colors of the faux-manual markings on the digital image.
16. The computer system of claim 10 , further comprising indicating a level of confidence of the digital image of the structure containing the one or more structure abnormality as colors of the faux-manual markings on the digital image.
17. A computer system storing computer readable instructions that, when executed by the computer system, cause the computer system to perform the following: obtaining results of an automated analysis of one or more digital images indicative of determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital images, wherein the automated analysis utilizes one or more of machine learning and artificial intelligence;
creating, automatically, a report depicting the results including one or more of the digital images depicting the one or more portions of the structure showing the structure abnormalities; and
generating, automatically, a plurality of faux-manual markings applied to the one or more digital image to indicate a location of the structure abnormalities on the one or more portions of the structure depicted in the one or more digital image, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world.
18. A method, comprising:
generating, automatically with one or more computer processor, from one or more digital images, determinations of structure abnormalities of one or more portions of a structure depicted in the one or more digital images utilizing one or more of machine learning and artificial intelligence;
applying, automatically with the one or more computer processors, on the one or more digital image, standardized markings indicative of a location in the digital image of the structure abnormalities of the structure depicted in the digital image; and
generating, automatically with the one or more computer processors, one or more faux-manual markings by modifying one or more of the standardized markings, utilizing one or more image-manipulation algorithm, wherein the faux-manual markings mimic an appearance of manual markings on the structure in the real world.