Detection of the Corner Structures in Images by Scalable Masks

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Detection of the Corner Structures in Images by Scalable Masks

机译：通过可伸缩的掩模检测图像中的角落结构

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Under consideration are the scalable masks for detection of corner structures in digital images which are used when processing by a window sliding through an image. The proposed matrices of masks of arbitrary size are constructed by adding rows and columns along the perimeter to the matrix of smaller masks. The submatrices remain unchanged, whereas some new elements are added by repeating the submatrix entries that preserve the structure of the corner. The algorithm can be used in processing visual data of robotics, aerial photography, and crystallography.

机译：正在考虑的是用于检测数字图像中的拐角结构的可伸缩掩模，该窗口在通过图像滑动的窗口处理时使用。通过将沿周边的行和列沿着较小掩模的矩阵添加行和列来构造任意尺寸的掩模的所提出的矩阵。子毗邻保持不变，而通过重复保留角落结构的子刚性条目来添加一些新元素。该算法可用于处理机器人，航拍和晶体学的视觉数据。

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《Journal of applied and industrial mathematics》 |2020年第1期|共12页
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正文语种 eng
中图分类应用数学;
关键词
image processing; sliding window; scalable mask; corner detection;

机译：图像处理;滑动窗口;可伸缩面罩;角落检测;

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专利

1. Detection of the Corner Structures in Images by Scalable Masks [J] . Journal of applied and industrial mathematics . 2020,第1期

机译：通过可伸缩的掩模检测图像中的角落结构
2. Active contours with prior corner detection to extract discontinuous boundaries of anatomical structures in X-ray images [J] . Niroshika Aruni U./A/., Meegama Ravinda G.N., Lokupitiya Ravindra S., Image Processing, IET . 2015,第3期

机译：主动轮廓具有先验角点检测功能，可提取X射线图像中解剖结构的不连续边界
3. Multi-scale curvature product for robust image corner detection in curvature scale space [J] . Xiaohong Zhang, Ming Lei, Dan Yang, Pattern recognition letters . 2007,第5期

机译：多尺度曲率积，用于曲率尺度空间中的鲁棒图像角检测
4. Corner Detection Based on Scalable Masks [C] . I.G. Kazantsev, B.O. Mukhametzhanova, Suvorovsky O. Yu IEEE International Conference on Smart Information Systems and Technologies . 2021

机译：基于可伸缩面罩的角度检测
5. Robust Detection, Visualization, Recognition, and Analysis of Cytoskeletal Structures in Fibrillar Scaffolds from 3-Dimensional Confocal Images [D] . Park, Do young. 2017

机译：从三维共聚焦图像对原纤维支架中的细胞骨架结构进行稳健的检测，可视化，识别和分析
6. Building Corner Detection in Aerial Images with Fully Convolutional Networks [O] . Weigang Song, Baojiang Zhong, Xun Sun 2019

机译：具有全卷积网络的航空影像中的建筑物角点检测
7. Figure 14: (A) Distribution of carbonyl (red) compared to the distribution of other compounds (cyan) in a 65 × 50 µm area of the sample. This area was measured in 0.1 µm steps. A layer of skin, identified by the yellow rectangle and predominantly composed of carbonyl, can be seen diagonally at the top-left corner of the image. The white arrow points towards the top of the skin. The red box represents the area detailed in (B). (B) Carbonyl (288.5 eV) map of the area within the red rectangle depicted in (A). The map covers an area of 20 × 20 µm of the sample in steps of 0.1 µm. The scale bar is 2 µm. Dark areas correspond to the presence of carbonyl (the data were collected with the detector in X-ray absorption mode). The yellow rectangle highlights a carbonyl layer which seems to be organized in smaller substructures, with three of them delineated by the white circles. (C) Elemental mapping of carbon (red), calcium (blue) and iron (green) of one of the substructures indicated by the white arrow in (B). [O] . -1

机译：图14：（a）与样品的65×50μm面积中的其他化合物（青色）的分布相比，羰基（红色）分布。该区域以0.1μm的步骤测量。由黄色矩形识别并主要由羰基构成的皮肤层可以在图像的左上角对角线地看到。白色箭头指向皮肤的顶部。红色框表示（b）中详述的区域。（b）（a）所示的红色矩形内区域内的区域的羰基（288.5 ev）图。该地图覆盖在0.1μm的步长的20×20μm的面积。秤条是2μm。暗区对应于羰基的存在（用X射线吸收模式用探测器收集数据）。黄矩形突出显示似乎在较小的子结构中组织的羰基层，其中三个被白色圆圈描绘。（c）由（b）中的白色箭头所示的一个子结构的碳（红色），钙（蓝色）和铁（绿色）的元素映射。

Detection of the Corner Structures in Images by Scalable Masks

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