While a traditional camera only captures one point of view scene, plenoptic or light-field camera, is able to capture spatial and angular information in single snapshot, enabling depth estimation from acquisition. In this paper, we present new metric algorithm using raw images multi-focus camera. The proposed approach especially suited for the configuration where several micro-lenses with diffe...

Classifying urine red blood cells (U-RBCs) is the core operation in diagnosing urinary system diseases (USDs). In this paper, based on a novel data type named multi-focus video, multi-instance inflated 3D convolutional neural network (MI3D) proposed. order to accurately classifying U-RBCs, MI3D integrates inception-V1 with learning models. Compared existent U-RBC classification methods relying ...

This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). takes into account the behaviour each pixel with its neighbours. It consists in calculating quadratic distance between value I (x, y) point all neighbouring pixels. Local is used to determine mass function defined DempsterShafer theory. The two classes studied are : fuzzy part focused pa...

Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, extract discriminative features further diagnosis. Skin cancer one of the most common types globally, its early diagnosis pivotal complete elimination malignant tumors from body. This research develops an Artificial Intelligence (AI) framework supervised skin lesion segmentatio...