A compactness based saliency approach for leakages detection in fluorescein angiogram
نویسندگان
چکیده
منابع مشابه
Saliency Tree: Saliency Detection Method Integrating Diffusion-Based Compactness And Local Contrast
Salient region detection is a challenging problem and an important topic in computer vision. It has a wide range of applications, such as object recognition and segmentation.. The proposed method is a bottom-up salient region detection method that integrates compactness and local contrast cues. Furthermore, to produce a pixel-accurate saliency map that more uniformly covers the salient objects,...
متن کاملCompressed-Sampling-Based Image Saliency Detection in the Wavelet Domain
When watching natural scenes, an overwhelming amount of information is delivered to the Human Visual System (HVS). The optic nerve is estimated to receive around 108 bits of information a second. This large amount of information can’t be processed right away through our neural system. Visual attention mechanism enables HVS to spend neural resources efficiently, only on the selected parts of the...
متن کاملVisual saliency detection: a Kalman filter based approach
In this paper we propose a Kalman filter aided saliency detection model which is based on the conjecture that salient regions are considerably different from our ”visual expectation” or they are ”visually surprising” in nature. In this work, we have structured our model with an immediate objective to predict saliency in static images. However, the proposed model can be easily extended for space...
متن کاملDetection of retinal capillary nonperfusion in fundus fluorescein angiogram of diabetic retinopathy
INTRODUCTION Retinal capillary nonperfusion (CNP) is one of the retinal vascular diseases in diabetic retinopathy (DR) patients. As there is no comprehensive detection technique to recognize CNP areas, we proposed a different method for computing detection of ischemic retina, non-perfused (NP) regions, in fundus fluorescein angiogram (FFA) images. METHODS Whilst major vessels appear as ridges...
متن کاملAutomated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy
The detection and assessment of intravascular filling defects is important, because they may represent a process central to cerebral malaria pathogenesis: neurovascular sequestration. We have developed and validated a framework that can automatically detect intravascular filling defects in fluorescein angiogram images. It first employs a state-of-the-art segmentation approach to extract the ves...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Machine Learning and Cybernetics
سال: 2016
ISSN: 1868-8071,1868-808X
DOI: 10.1007/s13042-016-0573-4