GIMP and Wavelets for Medical Image Processing: Enhancing Images of the Fundus of the Eye
원문 초록
The visual analysis of retina and of its vascular characteristics is important in the diagnosis and monitoring of diseases of visual perception. In the related medical diagnoses, the digital processing of the fundus images is used to obtain the segmentation of retinal vessels. However, an image segmentation is often requiring methods based on peculiar or complex algorithms: in this paper we will show some alternative approaches obtained by applying freely available tools to enhance, without a specific segmentation, the images of the fundus of the eye. We will see in particular, that combining the use of GIMP, the GNU Image Manipulation Program, with the wavelet filter of Iris, a program well-known for processing astronomical images, the result is giving images which can be alternative of those obtained from segmentation.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Flight Computers
RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
No time to train! Training-Free Reference-Based Instance Segmentation
Autoadaptive Medical Segment Anything Model
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
토론
이 논문과 연결된 포럼 글이 아직 없습니다.