Parameters of pulse coupled neural network(PCNN) were simplified and adaptive to determine. Spatial information and gray information of image were coupled to the weighted connection coefficient for greenhouse cucumber segmentation by using the 2-D Tsallis entropy to select the best results of iteration. Experimental results showed that, methods of contrast and regional consistency were employed to evaluate effect of different segmentation. Segmentation results of prospered method was better than using Shannon entropy and minimum cross entropy to terminate iteration of standard pulse coupled neural network segmentation.