Image Noise Type Identification in Microarray Images Using CNN-INC

Abstract

This paper presents a new method to identify the types of noise present in microarray images based on Convolution Neural Network known as CNN-INC. It does not demand any pre-processing of noisy images except resizing if needed. The size of dataset and the parameters of training options are selected to achieve 100% test accuracy (Zero ERROR).The CNN training speed is maintained substantially higher without compromising on accuracy. Experimental analysis shows that the proposed algorithm gives promising results compared to existing methods.

Ceramic Art Based on Digital Technology Image Processing

“…Ceramics for daily use can be used to make water cups, tableware and other supplies, which are easy to clean and durable. Sanitary ceramics can be used as toilets, sinks, etc, which are not easy to leave stolen goods and odors and are also very convenient to flush [13][14].…”