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頁籤選單縮合
題名 | A Homomorphic Fuzzy Filter Based Approach for Image Recognition=同型乏晰濾波器於影像識別之研究 |
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作者姓名(中文) | 方寧; | 書刊名 | 中正嶺學報 |
卷期 | 20:2 1992.01[民81.01] |
頁次 | 頁23-32 |
分類號 | 312.1 |
關鍵詞 | 同型乏晰; 影像識別; 濾波器; |
語文 | 英文(English) |
中文摘要 | 本論文應用同型系統為基礎之影像特徵值萃取模式及乏晰濾波器,發 展出一套不變性影像辨識系統。在特徵值萃取方面,我們利用目標影像頻普之灰 度統計圖計算其平均值、變方、偏態與峰度值作為目標之特徵值。這些統計特微 值在目標位置不同、目標旋轉、目標大小不同、環境亮度改變、不同聚焦以及受 雜訊干擾時,皆具良好之不變性。當影像之特徵值得到後,將被視為候選目標, 並且產生一組與各影像特徵值向量相對應之乏晰子集合;則由輸入影像與儲存影 像之間的特徵值向量之歸屬函數關係,可完成分類辨識之目的,文中將以實驗影 像所得之成果說明本系統之有效性。 |
英文摘要 | A honiomorphic system based approach for extracting invariant features of target image andfuzzy logic for the decision procedure is developed this paper. In feature extraction, the statisticalvalues such as mean, variance, skewness, and kuriosis are calculated from the spectrum intensityhistogram of the target image. It is found that the statistical characteristics of this histogram arcinvariant under translation, rotation, scale change, illumination change, out of focus, and noisecorruption. A TV image is used to calculate the invariant features into candidate targets. Thesefeature vectors can be arranged into another different data type called fuzzy subset. The classification is then accomplished using the membership function of feature space of an image and storedpatterns. The effectiveness of this approach is illustrated with the help of experimental images. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。