CNN-based morphological decomposition of X-ray images for details and defects contrast enhancement
This paper introduces a new learning based framework for X-ray images that relies on a
morphological decomposition of the signal into two main components, separating images …
morphological decomposition of the signal into two main components, separating images …
Brain Tumor Segmentation from MR Images using Customized U-net for a Smaller Dataset
In medical image analysis, deep learning has emerged as a powerful tool for solving
complex tasks such as segmentation. This research presents an original approach using a …
complex tasks such as segmentation. This research presents an original approach using a …
Optimizing the range of a bilateral filter to enhance defects and threads visibility in x-ray radiographic testing
T Madmad, V Libertiaux… - … and Monitoring of …, 2022 - spiedigitallibrary.org
Radiographic testing is extensively used in non-destructive evaluation. However, the
contrast of object defects in X-Ray images is generally weak compared to the image …
contrast of object defects in X-Ray images is generally weak compared to the image …
[PDF][PDF] Министерство науки и высшего образования Российской Федерации
СС Худяков - 2022 - 62.182.30.44
Учебное пособие предназначено для студентов направлений подготовки бакалавриата
13.03. 02 «Электроэнергетика и электротехника», 35.03. 06 «Агроинженерия» всех …
13.03. 02 «Электроэнергетика и электротехника», 35.03. 06 «Агроинженерия» всех …