Texture is an important feature for describing different kinds of materials.Texture feature extraction is a hot topic in pattern recognition and computer vision research fields.LDP descriptor is a discriminative texture feature which is more robust to random noise and non-monotonic illumination variation than LBP.However

the LDP descriptor is much slow for calculating and sorting edge responses of 8 directions.To solve this problem

we improve the LDP coding method.We propose two improved methods.The first one adapts the same edge templates as LDP but uses a different coding scheme without sorting

which we called FLDP(fast local directional pattern).The second method uses less edge templates to construct short descriptor in order to reduce time and storage consumption of the feature

which we called MLDP(mini local directional pattern). We present experimental results on the Brodatz full set and Brodatz subset.Both show that the FLDP descriptor is 19 times faster than the LDP and the MLDP descriptors are 34 times faster with even better performance.Two methods are presented in this paper

FLDP and MLDP

to improve the LDP.Experiments show that these two improved descriptors cost much less time with even better performance than the LDP.