Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation

机译：将GLCM纹理分析添加到组合的分水岭变换和图割模型中进行图像分割

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Texture analysis is an important step in pattern recognition, image processing and computer vision systems. This work proposes an unsupervised approach to segment digital images combining the Watershed Transform and Normalized Cut in graphs (NCut) using texture information obtained from the Gray-Level Co-occurrence Matrix (GLCM). We corroborate the enhancement of image segmentation by means of the addition of texture analysis through several experiments carried out using the BSDS500 Berkeley dataset. For example, an improvement of 7% and 12% was found in relation to the Combined Watershed+NCut and Quadtree techniques, respectively. The overall performance of the proposed approach was indicated by the F-Measure through comparisons against other important segmentation methods.

机译：纹理分析是模式识别，图像处理和计算机视觉系统中的重要步骤。这项工作提出了一种无监督的方法，该方法使用从灰度共生矩阵（GLCM）获得的纹理信息，结合分水岭变换和归一化切入图（NCut）来分割数字图像。通过使用BSDS500 Berkeley数据集进行的几次实验，我们通过添加纹理分析来证实图像分割的增强。例如，与分水岭+ NCut和Quadtree组合技术相比，分别提高了7％和12％。 F-措施通过与其他重要细分方法进行比较，表明了所提出方法的整体性能。

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《International conference on advanced concepts for intelligent vision systems》|2017年|569-580|共12页
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Kaue T.N. Duarte; Marco A.G. de Carvalho; Paulo S. Martins;
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Gray-Level Co-occurrence Matrix; Normalized Cut; Watershed; Texture analysis; Image segmentation;

机译：灰度共现矩阵;标准化切割;分水岭;纹理分析;图像分割;

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1. Cotton Texture Segmentation Based On Image Texture Analysis Using Gray Level Co-occurrence Matrix (GLCM) And Euclidean Distance [J] . Farell Dwi Aferi, Tito Waluyo Purboyo, Randy Erfa Saputra International Journal of Applied Engineering Research . 2018,第1aPta3期

机译：基于图像纹理分析的棉花纹理分割使用灰度共发生矩阵（GLCM）和欧几里德距离
2. Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts [J] . HajarDanesh, RahelehKafieh, HosseinRabbani, Computational and mathematical methods in medicine . 2014,第4期

机译：基于图形切割的多分辨率纹理建模的增强深度成像中的脉络膜边界的分割
3. River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation [J] . Ciecholewski Marcin Expert Systems with Application . 2017,第octa期

机译：极化SAR图像中的河道分割：分水岭变换与平均对比度最大化相结合
4. Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation [C] . Kaue T. N. Duarte, Marco A. G. de Carvalho, Paulo S. Martins International Conference on Advanced Concepts for Intelligent Vision Systems . 2017

机译：添加GLCM纹理分析对图像分割的组合流域变换和曲线图剪切模型
5. Left Ventricle Myocardium Segmentation from 3D Cardiac MR Images using Combined Probabilistic Atlas and Graph Cut-based Approaches. [D] . Daryanani, Aditya. 2015

机译：使用组合概率图谱和基于图割的方法从3D心脏MR图像中进行左心室心肌分割。
6. Segmentation of Choroidal Boundary in Enhanced Depth Imaging OCTs Using a Multiresolution Texture Based Modeling in Graph Cuts [O] . Hajar Danesh, Raheleh Kafieh, Hossein Rabbani, 2014

机译：在图形切割中使用基于多分辨率纹理的建模来增强深度成像OCT中的脉络膜边界分割
7. El análisis textural mediante las matrices de co-ocurrencia (GLCM) sobre imagen ecográfica del tendón rotuliano es de utilidad para la detección cambios histológicos tras un entrenamiento con plataforma de vibración. (Textural Analysis by Means of a Grey Level Co-Occurrence Matrix Method on Patellar Tendon Ultrasonography is Useful for the Detection of Histological Changes after Whole-Body Vibration Training) [O] . José Ríos-Díaz, Jacinto Javier Martínez-Payá, Mª Elena del Baño 2009

机译：通过同阵阵列（GLCM）在洛泊腱的闪电图图像上的纹理分析对于用振动平台训练后的检测组织学变化是有用的。（通过髌骨肌腱超声检查灰度的灰度共发生矩阵方法是有助于全身振动训练后的组织学变化的检测）
8. Segmentation of Synthetic Aperture Radar (SAR) Images of Ocean Surface by the Texture Energy Transform Method [R] . Du, L. J. 1988

机译：用纹理能量变换法分析海面合成孔径雷达（saR）图像

Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation

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