A review of convolutional neural networks and gabor filters in object recognition
… on the texture segmentation, and this segmentation is the main … But, granted the power of
CNN in self-optimization, we … Transform (DWT) and Gabor based feature. When most of the …
CNN in self-optimization, we … Transform (DWT) and Gabor based feature. When most of the …
Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization
… in favor of using Gabor-based methods for initializing the … been favored for their self-optimization
through gradient descent … filter would suffice for most texture segmentation tasks ( σ x = σ …
through gradient descent … filter would suffice for most texture segmentation tasks ( σ x = σ …
Deep manifold orthometric network for the detection of cancer metastasis in lymph nodes via histopathology image segmentation
H Yu, Z Zhu, Q Zhao, Y Lu, J Liu - Biomedical Signal Processing and …, 2024 - Elsevier
… , high-solution WSI was segmented the into tens of millions of … that automatically identifies
discriminative patches by utilizing … The output M of the self-optimization modular is given by the …
discriminative patches by utilizing … The output M of the self-optimization modular is given by the …
RETRACTED ARTICLE: An efficient recognition system for preserving ancient historical documents of English characters
V Sathya Narayanan, N Kasthuri - Journal of Ambient Intelligence and …, 2021 - Springer
… Optical Character recognition (OCR) system is a tool that allows machines to recognize
automatically the characters through an optical … the character segmented in the segmentation …
automatically the characters through an optical … the character segmented in the segmentation …