Proposed Classification System By Using Artificial Neural Network

The research presented in this paper was aimed to develop a recognition system for microscopic images of human tissues samples. the system should classify different types of tissues (i.e., breast, liver and blood cells). in this paper, co-occurrence matrix, run length matrix features combined with developed method to measure the roughness were used to extract a set of textural features in order to perform texture analysis for tissues samples. a feed forward neural network was used to classify different types of tissues according to the extracted feature vectors. for ann training purpose the back-propagation training algorithm was used. evaluation tests were carried on 550 tissues images. the test results indicated that the best attained success rate was around 93%. the proposed system was implemented using “visual basic.net” and all tests be done on windows operating system environment.