基于灰度共生矩阵的红枣纹理特征提取

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摘要：纹理是物体表面最本质的属性，在红枣分级中起着非常重要的作用。本文采用灰度共生矩阵对正常红枣和褶皱红枣两种类型的红枣表面进行纹理特征提取，通过试验表明由灰度共生矩阵提取的纹理特征能有效区分两种类型的红枣，对红枣具有较好的区分功能。

关键词：灰度共生矩阵;红枣;纹理特征;特征提取

Texture Feature Extraction of Red Jujube Based

on Gray-level Co-occurrence Matrix

Zhu Lijuan

Xinjiang Institute of TechnologyXinjiangAksu843000

Abstract：The texture is the most essential attribute of object surface and plays a very important role in the classification of red jujube.In this paper，the gray-level co-occurrence matrix is used to extract the texture features of the two types of red jujube surfaces：normal red jujube and folded red jujube.The experiments show that the texture features extracted by the gray-level co-occurrence matrix can effectively distinguish the two types of red jujube and have a good function of distinguishing red jujube.

Keywords：gray-level co-occurrence matrix;red jujube;texture features;feature extraction

“世界红枣在中国，中国红枣在新疆”——我国枣种植面积及产量居世界第一，占世界枣种植面积及产量的98%以上。（剩余2279字）