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Applied Sciences
Volume 13
Issue 2
10.3390/app13021087
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Article
Peer-Review Record

A Novel Interval Iterative Multi-Thresholding Algorithm Based on Hybrid Spatial Filter and Region Growing for Medical Brain MR Images

Appl. Sci. 2023, 13(2), 1087; https://doi.org/10.3390/app13021087
by Yuncong Feng 1,2,3, Yunfei Liu 1, Zhicheng Liu 1, Wanru Liu 1, Qingan Yao 1,2,* and Xiaoli Zhang 3,4,*
Reviewer 1: Anonymous
Reviewer 2:
Hyeuknam Kwon
Appl. Sci. 2023, 13(2), 1087; https://doi.org/10.3390/app13021087
Submission received: 4 December 2022 / Revised: 7 January 2023 / Accepted: 11 January 2023 / Published: 13 January 2023
(This article belongs to the Special Issue Advances in Digital Image Processing)

Round 1

Reviewer 1 Report

In this paper, a novel interval iterative multi-thresholding algorithm based on hybrid spatial filter and region growing for medical brain MR images is proposed. The authors depicted the processing procedures of the proposed method and made some simulations to verify the feasibility of the proposed method. Experiments show that the hybrid spatial filter can eliminate the noise in the image well while preserve the edge information of the image. It makes the segmentation effect more accurate. The paper presents are interesting idea and can be accepted for publication.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

I attched the comment file.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

My comments are listed as follows.

(1) The content of section 2.1 needs to be reduced.

(2) Please add more information into Fig.1, such as x-label.

(3) For some case, sub-peaks exists in curves. There are a part of peaks are useless. How to select these peaks used in your method.

(4) The advantages of the research results are not intuitive and not significant. The author needs to highlight the highlights of the research results.

(5) The following papers are related with this work.

[1] Z. Shi, X. Zhou, Spatio-Temporal Dynamic Fields Estimating and Modeling of Missing Points in Data Sets Using a Flexible State-Space Model, APPLIED SCIENCES, 11(19), 9050, 2021.

[2] Q. Zuo, Y. Geng, C. Shen, J. Tan, S. Liu, Z. Liu, Accurate angle estimation based on moment for multirotation computation imaging, Applied Optics, 59(2), 492-499, 2020.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

The authors modified the manuscript appropriately in the reviewer's comment. I have no more comments or suggestions.

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