摘要翻译：
胶囊内镜是一种新型的、无创的诊断方法，它辅助胃肠科医生监测消化道。虽然这项新技术比传统内窥镜有许多优点，但也有一些缺点限制了这项技术的应用。一些弱点是由于使用小尺寸电池。无线电发射机消耗的能量最大；因此，减少功率消耗的简单方法是减少要传输的数据。为了减少传输的数据量，人们提出了许多工作，包括特定的压缩方法，降低视频分辨率和帧率。我们提出了一个在胶囊内检测信息帧并发送这些帧而不是几个非信息帧的系统。在本工作中，我们着重于硬件友好的算法（具有并行性和流水线的能力）来实现息肉检测。利用正对比度和息肉自定义边缘两个特征来确定框架是否包含息肉。该方法不需要复杂的迭代结构，节省了功耗，缩短了响应时间。实验结果表明，我们的工作的检测率是可以接受的。
---
英文标题：
《Polyp detection inside the capsule endoscopy: an approach for power
  consumption reduction》
---
作者：
Mohammad Amin Khorsandi, Nader Karimi, Shadrokh Samavi
---
最新提交年份：
2017
---
分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
--
一级分类：Computer Science        计算机科学
二级分类：Computer Vision and Pattern Recognition        计算机视觉与模式识别
分类描述：Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.
涵盖图像处理、计算机视觉、模式识别和场景理解。大致包括ACM课程I.2.10、I.4和I.5中的材料。
--

---
英文摘要：
  Capsule endoscopy is a novel and non-invasive method for diagnosis, which assists gastroenterologists to monitor the digestive track. Although this new technology has many advantages over the conventional endoscopy, there are weaknesses that limits the usage of this technology. Some weaknesses are due to using small-size batteries. Radio transmitter consumes the largest portion of energy; consequently, a simple way to reduce the power consumption is to reduce the data to be transmitted. Many works are proposed to reduce the amount of data to be transmitted consist of specific compression methods and reduction in video resolution and frame rate. We proposed a system inside the capsule for detecting informative frames and sending these frames instead of several non-informative frames. In this work, we specifically focused on hardware friendly algorithm (with capability of parallelism and pipeline) for implementation of polyp detection. Two features of positive contrast and customized edges of polyps are exploited to define whether the frame consists of polyp or not. The proposed method is devoid of complex and iterative structure to save power and reduce the response time. Experimental results indicate acceptable rate of detection of our work.
---
PDF链接：
https://arxiv.org/pdf/1712.10164