CAJ | 학술논문

基于图像视觉信息的目标检测与识别一直是研究的重点和难点，针对复杂坏境的图像呈现出对比度低，强噪声干扰，灰度集中的特点，提出了一种基于小波变换理论和数学形态学的目标图像增强方法；首先对图像进行了小波变换，提取高频分量系数，其次利用阈值算法对图像进行降噪处理，最后对图像进行形态学交替滤波得到增强后的图像；实验表明：该检测算法对提高信噪比，增强目标有很好的效果，适合与目标检测与识别，算法在性能上优于传统的单一算法。
기우도상시각신식적목표검측여식별일직시연구적중점화난점，침대복잡배경적도상정현출대비도저，강조성간우，회도집중적특점，제출료일충기우소파변환이론화수학형태학적목표도상증강방법；수선대도상진행료소파변환，제취고빈분량계수，기차이용역치산법대도상진행강조처리，최후대도상진행형태학교체려파득도증강후적도상；실험표명：해검측산법대제고신조비，증강목표유흔호적효과，괄합여목표검측여식별，산법재성능상우우전통적단일산법。
For image with high-noise interference,low contrast and grayscale concentrated,a image en-hancement method based on Wavelet and Grayscale Morphology is presented.Firstly,the wavelet trans-form is adopted to decompose the image and extracted the high frequency components.Secondly,calcula-tion of part threshold value is used to de-nosing.Finally,grayscale morphology is applied to enhance and synthesis the image.The simulated experiment result personal computer indicates that the algorithm is ef-fective to improving the signal-to-noise ratio,enhance the target.This method is adaptable to target detec-tion.