The More Fractal the Architecture the More Intensive the Color of Flower: A Superpixel-Wise Analysis towards High-Throughput Phenotyping
Round 1
Reviewer 1 Report
The article is good, because present application of fractal geometry in Flowers.
In Title of article you have: The More Fractal the Architecture the More Intensive the Color of Flower:...
On Fig. 2, Fig. 3 and Fig. 4 are presented calculation of fractal dimension. There are mostly 1.93 (one have 1,94), minimum difference between all figures. Why is in this research fractal important for analyzing pictures? Can you explain this for readers?
Author Response
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Author Response File: Author Response.docx
Reviewer 2 Report
Overall Impressions
In this paper, the authors introduce a cutting-edge framework into the biophysical modeling of flower's color upon canopy's architecture over processing high-resolution imagery data. They elaborated the model by merging single linear iterative clustering algorithm and box-counting method, and then validated it by fitting the Gompertz function to RGB data on pixel-wise intensity of flower's color and fractal dimension of the architecture of white-flower, yellow-flower, and red-flower specialties of the ornamental commodity. The SLIC algorithm segmented the image into compact and uniform superpixels, enabling the BCM to capture the SP of the architecture. They found that the more compact the architecture the more intensive the color of flower.
The topic that is covers is interesting. In addition, the paper is clearly written, seems well conceived and nontrivial, and, to the best of my knowledge, is new. I ask only that the authors consider the following points in preparing a revised version of this manuscript.
Specific Comments
- Concise the keywords. Three to five may be better.
- The authors exemplify the possibility of distilling the functional relationship between the intensity of the flower's color and architecture's compactness explicitly for P. umbraticola. Should the influence of environment, region and other factors on the experimental results be considered? It is better to add a necessary explanation.
- Is the experimental numerical relationship obtained by the author also applicable to other plants?
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
The manuscript entitled” The More Fractal the Architecture the More Intensive the Color of Flower: A Superpixel-Wise Analysis Towards High- Throughput Phenotyping '' aims at very interesting areas of sciences, there as a nonlinear geometry. However, the peer-reviewed manuscript contains many gaps and uncertainties. For this reason, it is very difficult to assess the scientific quality of a manuscript. In particular, the chapter related to the research methodology is extremely unclear. I have put my comments below.(Edited)Restore original.
What part of the plant did the fractal dimension study investigate?
The authors give the resolution of the captured images to 72 dpi, is this the correct value? This is a very low resolution, the mirrors have a matrix sensor of 24.2 MP, or the given value is not too low. In publications presenting research using image analysis, the image resolution is at least 300 dpi.
How was the color intensity measured? Please describe the formula used in the research.
How was the threshold value calculated when transforming the original image into a binary image, used in the boxed method of calculating the fractal dimension presented in the manuscript?
Was binarization performed for each RGB channel, please explain the calculation method? What was the resolution of each color channel? Was it 8 bits or more?
It would be useful to include a drawing showing the algorithm for calculating fractal dimension using the box method.
I recommended the publication of the paper after major revision.
Author Response
Please see the attachment.
Author Response File: Author Response.docx