基于灰度共生矩陣的紅棗紋理特征提取

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摘要：紋理是物體表面最本質(zhì)的屬性，在紅棗分級中起著非常重要的作用。本文采用灰度共生矩陣對正常紅棗和褶皺紅棗兩種類型的紅棗表面進(jìn)行紋理特征提取，通過試驗表明由灰度共生矩陣提取的紋理特征能有效區(qū)分兩種類型的紅棗，對紅棗具有較好的區(qū)分功能。

關(guān)鍵詞：灰度共生矩陣;紅棗;紋理特征;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

“世界紅棗在中國，中國紅棗在新疆”——我國棗種植面積及產(chǎn)量居世界第一，占世界棗種植面積及產(chǎn)量的98%以上。（剩余2279字）