查詢結果分析
相關文獻
- 使用粒子族群最佳化與支援向量迴歸的抗旋轉影像檢索
- 快速傅立葉轉換應用於動態電力諧波量測之截取效應
- 類神經網路於爆震偵測之應用
- 快速傅立葉轉換在雷達信號處理之應用
- An Application of MATLAB Programming Language for Singal Processing Analysis
- Fast Fourier Transformation on Photoreflectance Spectra
- Fast Fourier Transformation of Photoreflectance Spectrum
- 影像能譜技術應用於銅金屬化製程內低介電常數材料之介電性質量測
- Realization of Area-Efficient FFT Processors for DAB System
- Another New Notation for Fast Fourier Transform
頁籤選單縮合
題 名 | 使用粒子族群最佳化與支援向量迴歸的抗旋轉影像檢索=Rotation Invariant Image Retrieval Using Particle Swarm Optimization and Support Vector Regression |
---|---|
作 者 | 蔡鴻旭; 劉信宏; 張百畝; | 書刊名 | 建國科大社會人文期刊 |
卷 期 | 31:1 2012.01[民101.01] |
頁 次 | 頁21-47 |
分類號 | 312.1 |
關鍵詞 | 內容影像檢索; 對數極座標; 快速傅立葉轉換; 加柏濾波器; 澤尼克; 粒子族群最佳化; 支援向量迴歸; Content-based image retrieval; Log-polar mapping; Fast Fourier transform; Zernike moment; Particle swarm optimization; Support vector regression; |
語 文 | 中文(Chinese) |
中文摘要 | 本論文提出一個使用粒子族群最佳化及支援向量迴歸的抗旋轉影像檢索方法,它分別利用三種旋轉不變量特徵,而特徵抽取的方法包括對數極座標、快速傅立葉轉換、加柏濾波器與澤尼克,並利用粒子族群最佳化演算法以便最佳化影像相似度公式。根據實驗顯示,本研究所提出的方法,其效能優於現存的抗旋轉影像檢索方法。接著,本論文提出以支援向量迴歸結合粒子族群最佳化,建構一個影像檢索方法,它能有效降低影像檢索的計算複雜度。 |
英文摘要 | This paper presents a novel Rotation Invariant Image Retrieval method using Particle swarm optimization (PSO) and Support vector regression (SVR), which is called RIIRPS system, for the grey-level texture image retrieval. It respectively employs the log-polar mapping (LPM), the fast Fourier transformation (FFT), the Gabor filter and the Zernike moment to extract three kinds of rotation invariant features from the images. Subsequently, the PSO is utilized for optimizing the image similarity measurement. Experimental results demonstrate that the RIIRPS system can achieve satisfying results and outperform the existing well-known rotation invariant image retrieval methods in performance. Also, in order to reduce the calculation complexity for image retrieval, the RIIRPS system employs the SVR combined with the PSO to construct an effective method which reduces the calculation complexity for image retrieval. |
本系統中英文摘要資訊取自各篇刊載內容。