A Novel Image Segmentation Algorithm Based on the Microarray Camera and Modified YCrCb Color Space

Jiancheng Zou, Rui Song, Tianshu Chen
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引用次数: 1

Abstract

A novel method of image segmentation based on microarray camera $(3\times 3)$ and modified YCrCb color space is proposed in this paper, we use the microarray camera to obtain array images in the same scene and use array images to achieve image segmentation. Microarray camera can take wider field of vision and contain more image details than traditional cameras. Using the SSD network to detect the object in the array images and using modified YCrCb color space to improve the accuracy under the high light intensity. The microarray lens in this paper is expected to be applied to mobile phones and tablet devices. Experimental results show that the proposed algorithm reduces the error rate and the edge extraction is more complete and smoother compared with SSD network.
一种基于微阵列相机和改进的YCrCb色彩空间的图像分割算法
本文提出了一种基于微阵列相机$(3\times 3)$和改进的YCrCb色彩空间的图像分割新方法,利用微阵列相机获取同一场景中的阵列图像,利用阵列图像实现图像分割。与传统相机相比,微阵列相机具有更广阔的视野和更多的图像细节。利用SSD网络对阵列图像中的目标进行检测,并利用改进的YCrCb色彩空间提高高光强下的检测精度。本文的微阵列透镜有望应用于手机和平板设备。实验结果表明,与SSD网络相比,该算法降低了错误率,边缘提取更完整、更平滑。
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