水下海参图像处理方法研究

Study on Image Processing Method of Underwater Sea Cucumber

由于海参养殖的水下环境相对复杂,导致水下拍摄得到的图像容易受到水源浑浊度、光照折射或水流速度等环境因素影响,造成图像质量低,更有海草、水下生物、人类垃圾等背景因素干扰,给图像中海参的检测造成了很大的困难。结合水下海参图像的实际情况,首先对采集到的图像进行灰度值范围调整使图像更加明亮,突出图像中的重要信息;选择高斯高通滤波器使图像得到锐化处理去除图像的低频部分,突出图像边缘;之后采用全局阈值分割方法将目标对象和背景较为明显的区分出来。通过上述方法实现海参图像的增强、分割处理,为水下海参图像的检测识别提供一种有效的图像处理方法。

Due to the relatively complex underwater environment of sea cucumber breeding, the underwater images are easily affected by environmental factors such as water source turbidity, light refraction or water flow velocity. As a result,the image quality is low, and background factors such as seaweed, underwater life and human garbage interfere with it,which makes it very difficult to detect the sea cucumber in the image. Combined with the actual situation of underwater sea cucumber image, the gray value range of the collected image is adjusted to make the image brighter and highlight the important information in the image. Gaussian high pass filter was selected to sharpen the image to remove the low frequency part of the image and highlight the image edge. The global threshold segmentation method is adopted to distinguish the target object from the background. The above method can enhance and segment the image of sea cucumber and provide an effective image processing method for the detection and recognition of underwater sea cucumber images.