In order to increase the imaging speed of the laser confocal scanning microscope, a progressive bidirectional scanning method should be used in order to make full use of the highest frequency that the scanning galvanometer can achieve. Meanwhile, for high-speed scanning image this method will bring frame data segmentation problems. In this paper, on the basis of qualitative analysis of the system scanning mode and taking full account of the differences between the actual and theoretical motion modes of galvanometer, a set of complete high-frame-rate imaging algorithms is proposed by exploiting the similarity of two adjacent frames. The method realizes adaptive segmentation of one-dimensional signal sequence by means of continuous frame feature region difference, that is , the one-dimensional signal sequence is dynamically arranged and divided into two-dimensional array image data, thereby reconstructing multi-frame high-precision images. Experiment shows that the imaging error of this algorithm is less than 1.6% and is suitable for laser confocal scanning microscopy with an imaging speed of up to 300 frame/s.