09-10-2012، 11:24 AM
درود
در مجموعه سورس زیر که سورس هاو تابع ها بسیار زیادی برای پردازش تصاویر با متلب هست.
Matlab7.x image processing functions
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در مجموعه سورس زیر که سورس هاو تابع ها بسیار زیادی برای پردازش تصاویر با متلب هست.
Matlab7.x image processing functions
لیست سورس ها :
کد:
Matlab7.x image processing
ch2_1_1: histogram (§ 2.1.3)
ch2_2_1: display images (§ 2.2.2)
ch2_3_1: Add a color bar (§ 2.3.1)
ch2_3_2: a single frame of the image display (§ 2.3.2)
ch2_3_3: multi-frame image display (§ 2.3.2)
ch2_3_4: image animation (§ 2.3.2)
ch2_3_5: the animated display of grayscale images (§ 2.3.2)
ch2_3_6: Texture Mapping (§ 2.3.3)
ch2_3_7: a graphical window to display two images (§ 2.3.4)
ch3_1_1: nested image algebra function (§ 3.1.1)
ch3_1_2: the two images is the sum of (§ 3.1.2)
ch3_1_3: image and constant sum (§ 3.1.2)
ch3_1_4: two image subtraction (§ 3.1.3)
ch3_1_5: two images by multiplying (§ 3.1.4)
ch3_1_6: the image is divided by a constant (two images divided by) (§ 3.1.5)
ch3_2_1: image scaling (§ 3.2.2)
ch3_2_2: image rotation (§ 3.2.3)
ch3_2_3: image shear (§ 3.2.4)
ch3_2_4: generation and application of an affine transformation (§ 3.2.5)
ch3_2_5: findbounds function of the application (§ 3.2.5)
ch3_2_6: makeresampler function of the application (§ 3.2.5)
ch3_2_7: the projection transformation (§ 3.2.5)
ch3_3_1: to calculate the image of local standard deviation (§ 3.3.1)
ch3_3_2: Calculate the maximum of the 3 × 3 neighborhood pixel values of the input image (§ 3.3.2)
ch3_4_1: according to the specified coordinates for a hexagonal region (§ 3.4.1)
ch3_4_2: segmentation by gray level image of the target (§ 3.4.1)
ch3_4_3: function poly2mask the call format (§ 3.4.1)
ch3_4_4 Sharpen ....... (§ 3.4.2): a designated area
ch3_4_5: Fill a designated area (§ 3.4.3)
ch4_1_1: rectangular Fourier transform of the continuous function (§ 4.1.1)
ch4_1_2: to build a rectangular function (§ 4.1.2)
ch4_1_3: two-dimensional fast Fourier transform (§ 4.1.2) for f
ch4_1_4 zeros: f (area size of 256 × 256), then two-dimensional fast Fourier transform (§ 4.1.2)
ch4_1_5: transform the results of the zero-frequency component in the center, call the function fftshift (§ 4.1.2)
ch4_1_6: function ifft2 the product of the inverse Fourier transform (§ 4.1.3)
ch4_1_7: positioning results (§ 4.1.3) corresponds to the letter "a" in the image text.png
ch4_2_1: an image discrete cosine transform (§ 4.2.1)
ch4_2_2: the JPEG image compression (§ 4.2.2)
ch4_3_1: square image in the direction of 0 ° and 45 ° on the Radon transform (§ 4.3.1)
ch4_3_2: Calculate the square image from 0 ° to 180 ° every 1 ° calculation of the Radon transform command (§ 4.3.1)
ch4_3_3: line detection (§ 4.3.1)
ch4_3_4: use the radon function and iradon of function to construct a simple image projection and reconstructed images (§ 4.3.2)
ch4_4_1: mapping and reconstruction of images (§ 4.4.1)
ch5_1_1: image gray linear transformation (§ 5.1.1)
ch5_1_2: image gray piecewise linear transformation (§ 5.1.1)
ch5_1_3: the transfer function of the number of forms of dynamic range compression (§ 5.1.1)
ch5_1_4: histogram equalization (§ 5.1.2)
ch5_1_5: histogram specification (§ 5.1.2)
ch5_2_1: neighborhood average linear smoothing ....... method noise (§ 5.2.2)
ch5_2_2: winner filtering method to achieve the noise reduction (§ 5.2.2)
ch5_2_3: Median filtering noise reduction (§ 5.2.2)
ch5_2_4: Linear Sharpen ....... (§ 5.2.3)
ch5_2_5: sharp non-linear filtering (§ 5.2.3)
ch5_3_1: Buterworth low-pass ....... (§ 5.3.1)
ch5_3_2: Buterworth high-pass ....... (§ 5.3.2)
ch5_4_1: gray-scale layering color images to achieve (§ 5.4.2)
ch5_4_2: spatial domain grayscale - color transform, image enhancement (§ 5.4.2)
ch5_4_3: mean ....... for true color images for each color plane ....... (§ 5.4.3)
ch5_5_1: noise image generation (§ 5.5.4)
ch5_5_2: target image generation (§ 5.5.4)
ch6: Huffman coding (§ 6.1.4)
ch7_1_1: The maximum variance method to calculate the gray level segmentation threshold (§ 7.1.2)
ch7_1_2: a variety of edge detection operator (§ 7.2.2)
ch7_2_1: Hough transform line detection (§ 7.2.3)
ch7_2_2.: Phase Classification (§ 7.2.3)
ch8_3_1: blurred images (§ 8.3.2)
ch8_3_2: the original image, add noise (§ 8.3.2)
ch8_4_1: Generate fuzzy of experimental images (§ 8.4.1)
ch8_4_2: Wiener ....... restoration (§ 8.4.2)
ch8_4_3: constrained least squares filtering for restoration (§ 8.4.3)
ch8_4_4: Lucy-Richardson ....... restoration (§ 8.4.4)
ch8_4_5: Blind convolution ....... restoration (§ 8.4.5)
ch9_2_1: call bwmorph function of the skeleton of operation (§ 9.2.4)
ch9_2_2: function bwperim to extract the boundary operation (§ 9.2.4)
ch9_2_3: using function bwmorph achieve the extraction of the operation of the border and skeleton of operation (§ 9.2.4)
ch9_2_4: use function imbothat image processing (§ 9.2.4)
ch9_2_5: the function imclose perform image closing operation (§ 9.2.4)
ch9_2_6: the function imopen implementation of the image to open computing degree (§ 9.2.4)
ch9_2_7: use function imtophat enhance the image contrast (§ 9.2.4)
ch9_3_1: Generate consists of two main local minimum region and several other local minima region (§ 9.3.4)
ch9_4_1: distance transform (§ 9.4)
ch9_5_1: function label2rgb call each object is displayed as different colors (§ 9.5.1)
ch9_5_2: Extract certain characters in the text in the image object (§ 9.5.2)
ch9_5_3: function bwarea calculation the percentage of the expansion area of growth after the operation performed on the image (§ 9.5.3)
ch9_5_4: function bweuler the Euler number calculation (§ 9.5.4)
ch9_6_1: the call the function makelut applylut to achieve the look-up table operations (§ 9.6)
ch10_1_1: using function imfilter image filtering (§ 10.1.3)
ch10_2_1: use of frequency transformation method to generate a 2-D ....... (§ 10.2.2)
ch10_2_2: the use of the frequency sampling method to generate a 2-D ....... (§ 10.2.3)
ch10_2_3: window method to generate a 2-D ....... (§ 10.2.4)
ch10_2_4: a design for the 0.5 is an ideal low-pass ....... cutoff frequency (§ 10.2.5)download:
[attachment=330]
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