思维进化计算在图像识别中的应用

Application of mind evolutionary computation in image recognition

本文对思维进化计算(mindevolutionarycomputation,MEC)在图像识别中的应用进行了验证,结合模板匹配对多目标图像进行搜索。采用的方法是将模板和图像从RGB彩色空间转化到L×u×v空间进行匹配,通过MEC计算评价函数找到最优目标,最后对差图像进行分析。匹配结果表明,MEC具有平移、旋转和尺度不变的特性,在图像识别过程中取得了满意的效果。

This paper verifies the application of MEC in image recognition, and template matching is applied when search for multi-objects images. In this paper, templates and images are changed from RGB color space to L×μ×ν space and matched with each other. The optima can he found by calculating the evaluating function with MEC, and the difference images are analyzed at last. The results present that MEC has the invariance of translation, rotating and scaling, and the satisfied effects are acquired.