Name
Abstract | ||
|---|---|---|
To reduce the incidence of colorectal cancer (CRC), we propose a new paradigm of Wireless Capsule Endoscopy (WCE) that recognizes polyps in-situ. We embed an image processing chain in a System on Chip (SoC) that uses the Hough Transform as part of the processing to detect circles in High Definition (HD, 1920x1080) images. A circle here is a probable marker of colorectal cancer; a polyp. Hough Transform is a widely used shape-based algorithm for object detection and localization. This technique can be generalized to circles. To embed the Hough Transform inside a WCE, considering real time execution and a limited area, several optimizations are necessary due to computational requirements. This paper presents an efficient, real-time architecture that can be integrated in an 8x8mm(2) embedded system of a HT algorithm for multi-circle detection. The architecture's area has been validated in a FPGA Xilinx Spartan 7 XC7S15-CPGA196 packaged in an area of 8x8mm(2). This architecture can run at 135.46MHz on a 1920x1080 pixels image. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BIOCAS.2019.8919052 | 2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019) |
Field | DocType | ISSN |
Histogram,Object detection,Computer vision,System on a chip,Wireless,Computer science,Image processing,Field-programmable gate array,Hough transform,Pixel,Artificial intelligence | Conference | 2163-4025 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Orlando Chuquimia | 1 | 0 | 0.34 |
| Andréa Pinna | 2 | 36 | 12.59 |
| Xavier Dray | 3 | 56 | 4.99 |
| Bertrand Granado | 4 | 88 | 21.68 |