@inproceedings {lopezSPP2019,
	title = {Image preprocessing with bi-histogram equalization in a supervised classification of radiographs},
	booktitle = {Proceedings of the 37th Samahang Pisika ng Pilipinas Physics Conference},
	year = {2019},
	month = {29 May 2019},
	pages = {SPP-2019-PA-22},
	address = {Tagbilaran City, Philippines},
	abstract = {Convolutional neural network models are known for their effectiveness in solving computer vision problems. These neural networks are designed to extract features from raw data for accurate classification. The objective of this paper is to study the effects of bi-histogram equalization preprocessing on the performance of a convolutional neural network in identifying pneumonia from a chest x-ray image. The model trained with the preprocessed images demonstrated improved accuracy during training and validation of the neural network.},
	url = {https://paperview.spp-online.org/proceedings/article/view/SPP-2019-PA-22},
	author = {Vidal Wyatt M. Lopez and Francis N. C. Paraan}
}
@inproceedings {462,
	title = {Evaluating the performance of a thresholding filter on handwritten images classification task},
	booktitle = {Proceedings of the 36th Samahang Pisika ng Pilipinas Physics Conference},
	year = {2018},
	month = {6{\textendash}9 June 2018},
	pages = {SPP-2018-PB-47},
	address = {Puerto Princesa City, Philippines},
	abstract = {In this paper we evaluate the effect of a thresholding filter on the accuracy and training times of a deep neural network. The filter increases the brightness of each pixel in the input image and then applies a threshold condition that zeroes out values exceeding a preset value. Although the filter is lossy, we demonstrate improved learning performance under some use cases.},
	url = {https://paperview.spp-online.org/proceedings/article/view/SPP-2018-PB-47},
	author = {Vidal Wyatt M. Lopez and Francis N. C. Paraan}
}