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首页> 外文期刊>Indian Journal of Science and Technology >Phase-only Wavelet Matched Filtering for Two- Dimensional Image Recognition and Classification
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Phase-only Wavelet Matched Filtering for Two- Dimensional Image Recognition and Classification

机译：二维图像识别与分类的纯相位小波匹配滤波

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摘要

Objectives: The adaptability of the Wavelet Matched Filtering which uses wavelets along with Fourier transforms is applied for the recognition and classification of two-dimensional objects. In image processing and pattern recognition, phase information is very relevant as it contains the features of the visual scene. Methods/Statistical Analysis: The paper describes the design for the phase-only wavelet matched filtering. The performance of the phase-only wavelet matched filter is compared with that of wavelet matched filter, the classical Matched Filter and the Phase-only Matched Filter for classifying four objects in a 2D scene. The comparison is done using the MATLAB simulation tool. Findings: Two metrics - the Peak to Correlation Energy (PCE) and the Discrimination Ratio (DR), were used to study the performance of Phase-only Wavelet Matched Filtering (PWMF), Wavelet Matched Filtering (WMF), Phase-only Matched Filtering (PMF) and classical Matched Filtering (MF). It is found that the Phase-only Wavelet Matched Filtering (PWMF) gives better discrimination capability and the proof of the concept is demonstrated here. Applications: The method finds its application in pattern or object recognition and classification.
机译：目的：结合小波和傅立叶变换的小波匹配滤波的适应性被用于二维物体的识别和分类。在图像处理和模式识别中，相位信息非常重要，因为它包含视觉场景的特征。方法/统计分析：本文介绍了仅相位小波匹配滤波的设计。将仅相位小波匹配滤波器的性能与用于在2D场景中对四个对象进行分类的小波匹配滤波器，经典匹配滤波器和仅相位匹配滤波器的性能进行比较。比较是使用MATLAB仿真工具完成的。研究结果：两个指标-峰值相关能量（PCE）和鉴别率（DR）被用于研究纯相位小波匹配滤波（PWMF），小波匹配滤波（WMF），纯相位匹配滤波的性能（PMF）和经典匹配过滤（MF）。发现仅相位小波匹配滤波（PWMF）具有更好的判别能力，并在此演示了这一概念的证明。应用：该方法可用于模式或对象识别和分类。

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