Striped-texture image segmentation with application to multimedia security

作者：Ren, Jinxiong^*; Chen, Gang; Li, Xiaoyan; Mao, Kuang

来源：Multimedia Tools and Applications, 2019, 78(19): 26965-26978.

DOI：10.1007/s11042-017-4479-2

• Security
• Multimedia modeling
• Striped texture image
• Image segmentation
• Multimedia security

In today's rapid growth of volume of multimedia data, security is important yet challenging problem in multimedia applications. Image, which covers the highest percentage of the multimedia data, it is very important for multimedia security. Image segmentation is utilized as a fundamental preprocessing of various multimedia applications such as surveillance for security by breaking a given image into multiple salient regions. In this paper, we present a new image segmentation approach based on frequency-domain filtering for images with stripe texture, and generalize it to lattice fence images. Our method significantly reduces the impact of stripes on segmentation performance. The approach proposed in this paper consists of three phases. Given the images, we weaken the effect of stripe texture by filtering in the frequency domain automatically. Then, structure-preserving image smoothing is employed to remove texture details and extract the main image structures. Last, we use an effective threshold method to produce segmentation results. Our method achieves very promising results for the test image dataset and could benefit a number of new multimedia applications such as public security.

• 出版日期2019-10
• 单位浙江大学