软图像分割

Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369) Pub Date : 2000-02-28 DOI:10.1109/SPCMTT.2000.896072

Y. Sharopin

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引用次数: 0

摘要

内窥镜和射线照相所获得的图像具有噪声大的特点。它们是软图像，因此图像数据的解释是复杂的。对于这类图像，基于图像亮度直方图分析的流行分割方法的应用是困难的。本文研究了基于近似傅里叶变换的图像分割方法和灰度共生矩阵中图像的纹理符号分割方法。

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Soft images segmentation

Images obtained by introscopy and radiography have characteristics of much noise. They are soft images and therefore the interpretation of data on the images is complex. For such images the application of prevalent methods of segmentation founded on the analysis of a histogram of image brightness is difficult. In the present paper methods of segmentation of images founded on approximating a Fourier transform and textured signs of the image obtained from the grey level co-occurrence matrix are investigated.

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Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)

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