The invention provides a textile defect detection method based on a peak coverage value and mixed features. According to the method, pixel grayscale information of a digital image of a flat textile surface under an illumination light source is analyzed, the image is segmented into grids which are not mutually overlapped, IRM, HOG, GLCM and Gabor feature values of each grid are calculated, and a textile surface defect is automatically positioned according to the distribution of the feature values. The textile defect detection method is especially applicable to automatically recognizing textilesurface defects in textile flat surface grayscale digital images collected under a stable illumination light source.