边缘检测、噪声消除、图像分割等多种功能集成的图像处理软件

FOURIER 0.8 Copyright (C) 2008 Developed by M. Emre Celebi Department of Computer Science Louisiana State University in Shreveport Shreveport, LA 71115, USA WWW: http://sourceforge.net/projects/fourier-ipal http://www.lsus.edu/faculty/~ecelebi/fourier.htm Project administrator: M. Emre Celebi This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA. -------------------------------------------------------------------- This is the beta release of Fourier, a portable image processing and analysis library written in ANSI C. The following is a list of some of the high-level functions currently available: A. Image I/O Reading/Writing 1) PNM (PBM, PGM, PPM) format 2) BMP (uncompressed) format 3) JPEG format (only read) B. Arithmetic/Logic 1) add_img: Adds two images 2) sub_img: Subtracts an image from another 3) mult_img: Multiplies two images 4) add_img_scalar: Adds a scalar to an image 5) sub_img_scalar: Subtracts a scalar from an image 6) mult_img_scalar: Multiplies an image with a scalar 7) div_img_scalar: Divides an image by a scalar 8) union_img: Unions two images 9) intersect_img: Intersects two images C. Geometric 1) rotate_img: Rotate an image using bilinear interpolation 2) scale_img: Scale an image using bilinear interpolation D. Grayscale Image Smoothing/Noise Removal 1) add_noise: Adds noise { Gaussian, Salt & Pepper, Speckle, Impulsive } to a grayscale/color image. Also, calculates various error measures { MAE, MSE, RMSE, PSNR, NMSE, NCD }. 2) filter_adap_smooth: Adaptive Smoothing filter 3) filter_bilateral: Bilateral filter 4) filter_gaussian: Separable and Fast Anisotropic Gaussian filters 5) filter_giws: Gradient Inverse Weighted Smoothing filter 6) filter_kuwahara: Kuwahara filter 7) filter_lce: Local Contrast Entropy filter 8) filter_lee: Lee's local statistics filter 9) filter_lum: LUM (Lower-Upper-Middle) filter 10) filter_mad: Adaptive MAD-based filter 11) filter_mcv: MCV (Mean of Least Coefficient of Variation) filter 12) filter_mean: (Arithmetic) Mean filter 13) filter_median: Classical, Running, 3x3, and Constant-Time Median filters 14) filter_mlv: MLV (Mean of Least Variance) filter 15) filter_mpv; Modified Peak-and-Valley Filter 16) filter_perona_malik: Perona-Malik Anisotropic Diffusion filter 17) filter_robust_aniso: Robust Anisotropic Diffusion filter 18) filter_sdrom: SDROM (Signal-Dependent Rank-Ordered Mean) filter 19) filter_sep_median: Separable Median filter 20) filter_sigma: Lee's Sigma filter 21) filter_snn: Symmetric Nearest Neighbor filter 22) filter_susan: Susan filter E. Grayscale Image Enhancement 1) ccv_enhance: Yu and Bajaj's Adaptive Contrast Enhancement method 2) equalize_histo: Histogram Equalization 3) expand_histo: Histogram Expansion 4) hyperbolize_histo: Histogram Hyperbolization 5) match_histo: Histogram Matching 6) smooth_histo_gauss: Smoothes a histogram using a Gaussian-weighted mask 7) smooth_histo_local: Smoothes a histogram using local arithmetic averaging F. Binary and Grayscale Mathematical Morphology bin_morpho, gray_morpho, morpho: 1) Dilation 2) Erosion 3) Opening 4) Closing 5) Opening Top-Hat 6) Closing Top-Hat (Bottom-Hat) 7) Conditional Dilation 8) Conditional Erosion 9) Morphological Gradient 10) Inf-Reconstruction 11) Sup-Reconstruction 12) Opening by Reconstruction 13) Closing by Reconstruction 14) Open-by-Reconstruction Top-Hat 15) Close-by-Reconstruction Top-Hat 16) H-minima Transform 17) H-maxima Transform 18) Regional minima 19) Regional maxima 20) Extended-minima Transform 21) Extended-maxima Transform 22) Alternating Sequential Filter 23) Hole Filling 24) Border Clearing G. Thresholding 1) threshold_huang: Huang's fuzzy thresholding method 2) threshold_iter: Iterative Selection thresholding method 3) threshold_kapur: Kapur-Sahoo-Wong (Maximum Entropy) thresholding method 4) threshold_li: Li's Minimum Cross Entropy thresholding method 5) threshold_moment: Moment-Preserving thresholding method 6) threshold_otsu: Otsu's thresholding method 7) threshold_renyi: Sahoo et al.'s thresholding method 8) threshold_shanbhag: Shanbhag's fuzzy thresholding method 9) threshold_yen: Yen's thresholding method 10) threshold_bernsen: Bernsen's thresholding method 11) threshold_niblack: Niblack's thresholding method 12) threshold_sauvola: Sauvola's thresholding method 13) threshold_savakis: Savakis's thresholding method 14) threshold_savakis_opt: Optimized version of Savakis's thresholding method H. Grayscale Edge Detection 1) detect_edge_canny: Canny Edge Detector 2) detect_edge_deriche: Deriche Edge Detector 3) detect_edge_log: LoG (Laplacian of Gaussian) Edge Detector 4) detect_edge_prewitt: Prewitt Edge Detector 5) detect_edge_roberts: Roberts Edge Detector 6) detect_edge_sobel: Sobel Edge Detector I. Binary Image Processing 1) label_cc: Connected components labeling using the Union-Find data structure 2) label_cc_hybrid: Connected components labeling using the hybrid method 3) label_cc_trace: Connected components labeling using the contour tracing method 4) fill_region: Heckbert's 4-connected seed-fill algorithm 5) filter_majority: Majority filter 6) pseudo_color: Pseudo coloring of a grayscale or label image 7) trace_contours: 8-connected contour tracing J. Shape Feature Extraction 1) calc_2d_convex_hull: Calculates the convex hull of an object 2) calc_affine_moments: Calculates the affine invariant moments of an object 3) calc_aspect_ratio: Calculates the aspect ratio of an object 4) calc_chord_len_stats: Calculates the chord length statistics { mean, variance, skewness, kurtosis } of an object 5) calc_circularity: Calculates the circularity of an object 6) calc_compactness: Calculates the compactness of an object 7) calc_cs_moments: Calculates the contour sequence moments of an object 8) calc_ellipse_feats: Calculates the ellipse-related { major/minor axis length, aspect ratio, eccentricity, orientation } features of an object 9) calc_ellipticity: Calculates the ellipticity of an object 10) calc_elliptic_var: Calculates the elliptic variance of an object 11) calc_equi_diameter: Calculates the equivalent diameter of an object 12) calc_gen_fourier_desc: Calculates the generic fourier descriptors of an object 13) calc_hu_moments: Calculates the seven invariant moments of an object 14) calc_max_diameter: Calculates the maximum diameter of an object 15) calc_obj_area: Calculates the area of an object using Bit-Quads 16) calc_obj_centroid: Calculates the centroid of an object 17) calc_radial_dist_feats: Calculates the radial distance features { mean, standard deviation, entropy, roughness } of an object 18) calc_rectangularity: Calculates the rectangularity of an object 19) calc_solidity: Calculates the solidity of an object 20) calc_triangularity: Calculates the triangularity of an object 21) calc_zernike_moments: Calculates the zernike moments of an object K. Color Image Segmentation 1) graph_segment: Efficient Graph-Based Segmentation method