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Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection
 
 
Article
Peer-Review Record

Reflectance Transformation Imaging Visual Saliency: Local and Global Approaches for Visual Inspection of Engineered Surfaces

Appl. Sci. 2022, 12(21), 10778; https://doi.org/10.3390/app122110778
by Marvin Nurit 1,2,3,*, Gaëtan Le Goïc 1,3, Stéphane Maniglier 4, Pierre Jochum 5 and Alamin Mansouri 3
Reviewer 1: Anonymous
Reviewer 2:
Reviewer 3:
Appl. Sci. 2022, 12(21), 10778; https://doi.org/10.3390/app122110778
Submission received: 2 September 2022 / Revised: 10 October 2022 / Accepted: 21 October 2022 / Published: 24 October 2022
(This article belongs to the Special Issue Automated Product Inspection for Smart Manufacturing)

Round 1

Reviewer 1 Report

The manuscript was submitted as an article, but it does not meet the journal requirements for an article. On the one hand, it is not clear how the experiment is structured, how it was conducted, and how it was evaluated. On the other hand, the structure does not meet the journal requirements and the scientific statement is hardly comprehensible. The manuscript reads as a general description rather in the form of a book chapter.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

1. The author not clearly defined the abstract part. In abstract part try to avoid definations, we, however,..........

2. I have some doubt in eqn(1), 'y' is vector, then how is possible for (y- mu(x)......)

3. Y not used in eqn(1)..........

3. In equ(2), Pc(y) is cumulative probability. Cumulative probability is always one, z is percentage filter value, How you compare these two parameters.

4. Eqn(2) interchanging and assiging the values, I think its not sufficient for optimization. How you confirm optimization with this?

5. Line number 160, Equation 3, not euation6.

6. Completely modify the conclusion part, Line number 250, uterly meshed up.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The research topic is relevant. Non-contact methods of control of dimensions, geometry and surface roughness of parts should be developed in order to develop forms of automation and intellectualization of control operations. The accuracy of visual control methods should be justified from the position of the values and tolerances of the controlled parameters. So, for example, if the size has a tolerance of 20 microns, then the measuring instrument should be at least three times more accurate, that is, for our case – 6 microns. In turn, the surface roughness should be estimated with a given error. In this paper there is no information about the measurement error by the proposed method.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The article still  does not meet the journal requirements for an article. 

  • Research manuscript sections: Introduction, Materials and Methods, Results, Discussion, Conclusions (optional).
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