A fuzzy convolutional neural network for enhancing multi-focus image fusion
The images captured by the cameras contain distortions, misclassified pixels, uncertainties
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …
Two-stage encoder multi-decoder network with global–local up-sampling for defect segmentation of strip steel surface defects
M Xu, J Wei, X Feng - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Precisely segmenting surface defects in steel strips is essential for enhancing product
quality. Despite the potential improvements in defect segmentation accuracy and robustness …
quality. Despite the potential improvements in defect segmentation accuracy and robustness …
Automatic generation of laser cutting paths in defective TFT-LCD panel images by using neutrosophic canny segmentation
The problem for the localization, detection, and separation of any LCD panel defects is
nontrivial and crucial for the LCD manufacturing industry. This study presents an automatic …
nontrivial and crucial for the LCD manufacturing industry. This study presents an automatic …
A Modified Singular Value Decomposition Kernelized Neutrosophic Entropy Method for TFT-LCD Panel Defect Segmentation
Distinct defects will inevitability incur due to multiple layers of production are required to
manufacture TFT-LCD panels. Localization and segmentation of defects are vital in …
manufacture TFT-LCD panels. Localization and segmentation of defects are vital in …