GLCM, kNN and Meanshift for neuron detection on Nissl-stained brain slice images

The method for neuron detection on Nissl-stained brain slice images is proposed.The method uses textural features of neurons extracted from 4 GLC-matrices.The method includes the following steps: image preprocessing, kNN classification by the textural features and Meanshift clustering of neuron pixels.Preprocessing includes the following steps: grayscale conversion, histogram equalization, histogram quantization.Gray conversion by blue component gives the best result.It is shown that using 2-,4-bin histogram gives close detection quality with 8-bin histogram ( 1 = 0, 83..0, 85).For pixel classification kNN algorithm was used.The results demonstrate that kNN is better choice for current task in comparing with NBC.The reached detection quality for given approach is = 0, 82, = 0, 92, 1 = 0, 86.Is is shown that our results are near the same or some better in characteristic in comparing with other neuron detection method.In our future work we'll prolong this investigation for great volume of dataset and special dataset for important diseases.