FUZZY CLUSTERINGS OF AERIAL IMAGES AND THEIR EVALUATION BASED ON IMAGE DEPENDENT AREA PARTITION.

Kaoru Hirota*, Kazuya Iwama

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Texture analysis of color aerial images has been done based on various Fuzzy clustering algorithms. Each image is given by RGB space (512 multiplied by 512 pixels, 8 bits gray levels, and is fed to an image processing system TOSPIX & DS600/80. Each image is divided into image dependent regions and texture features are calculated for each region of RGB space such as gray-level-average, standard deviation and B. V. Q. (bounded variation quantity) for theta equals 0 degree , 45 degree ,90 degree , 135 degree . Each region is expressed as an element/vector of 18-dimensional vector space. Twelve ( equals 4 multiplied by 3) Fuzzy clustering methods that are F. ISODATA, TN TD, TW with power indices p equals 1. 2, 1. 6, 2. 0 are applied to these vector sets. As a result 12 Fuzzy texture region images are obtained for each aerial image.

源语言英语
页(从-至)95-105
页数11
期刊Hosei Daigaku Kogakubu kenkyu shuho
22
出版状态已出版 - 3月 1986

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