融合纹理特征的SEEDS超像素分割算法

陈畅; 刘永坚; 解庆

陈畅, 刘永坚, 解庆. 融合纹理特征的SEEDS超像素分割算法[J]. 微电子学与计算机, 2018, 35(3): 64-67, 73.

引用本文:

陈畅, 刘永坚, 解庆. 融合纹理特征的SEEDS超像素分割算法[J]. 微电子学与计算机, 2018, 35(3): 64-67, 73.

CHEN Chang, LIU Yong-jian, XIE Qing. SEEDS-Based Superpixel Segmentation Method With Texture Fusion[J]. Microelectronics & Computer, 2018, 35(3): 64-67, 73.

Citation:

CHEN Chang, LIU Yong-jian, XIE Qing. SEEDS-Based Superpixel Segmentation Method With Texture Fusion[J]. Microelectronics & Computer, 2018, 35(3): 64-67, 73.

融合纹理特征的SEEDS超像素分割算法

SEEDS-Based Superpixel Segmentation Method With Texture Fusion

摘要

摘要: 在SEEDS算法的基础上, 进行了改进, 提出了T-SEEDS算法.其通过融合纹理信息, 来增强图像分割的效果, 并较好的解决了超像素个数较小的情况下, SEEDS算法分割效率不高的问题.

Abstract: This article introduces an improved algorithm based on SEEDS, T-SEEDS. T-SEEDS algorithm enhances the efficiency of image segmentation by add texture information into the algorithm, which solves the problem nicely that SEEDS can't segment effectively with small number of superpixel at the same time.

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