From b872dd5d38aeb1a4227f220d1bdd976e54cc18a0 Mon Sep 17 00:00:00 2001 From: Symisc Systems Date: Tue, 5 Jun 2018 08:38:41 +0200 Subject: [PATCH] Frontal License Plate detection without deep-learning --- samples/license_plate_detection.c | 96 +++++++++++++++++++++++++++++++ 1 file changed, 96 insertions(+) create mode 100644 samples/license_plate_detection.c diff --git a/samples/license_plate_detection.c b/samples/license_plate_detection.c new file mode 100644 index 0000000..3952bcf --- /dev/null +++ b/samples/license_plate_detection.c @@ -0,0 +1,96 @@ +/* + * Programming introduction with the SOD Embedded Image Processing API. + * Copyright (C) PixLab | Symisc Systems, https://sod.pixlab.io + */ +/* +* Compile this file together with the SOD embedded source code to generate +* the executable. For example: +* +* gcc sod.c license_plate_detection.c -lm -Ofast -march=native -Wall -std=c99 -o sod_img_proc +* +* Under Microsoft Visual Studio (>= 2015), just drop `sod.c` and its accompanying +* header files on your source tree and you're done. If you have any trouble +* integrating SOD in your project, please submit a support request at: +* https://sod.pixlab.io/support.html +*/ +/* +* This simple program is a quick introduction on how to embed and start +* experimenting with SOD without having to do a lot of tedious +* reading and configuration. +* +* Make sure you have the latest release of SOD from: +* https://pixlab.io/downloads +* The SOD Embedded C/C++ documentation is available at: +* https://sod.pixlab.io/api.html +*/ +#include +#include "sod.h" +/* +* Frontal License Plate detection without deep-learning. Only image processing code. +*/ +static int filter_cb(int width, int height) +{ + /* A filter callback invoked by the blob routine each time + * a potential blob region is identified. + * We use the `width` and `height` parameters supplied + * to discard regions of non interest (i.e. too big or too small). + */ + if ((width > 300 && height > 200) || width < 45 || height < 45) { + /* Ignore small or big boxes (You should take in consideration + * U.S plate size here and adjust accordingly). + */ + return 0; /* Discarded region */ + } + return 1; /* Accepted region */ +} +int main(int argc, char *argv[]) +{ + /* Input image (pass a path or use the test image shipped with the samples ZIP archive) */ + const char *zInput = argc > 1 ? argv[1] : "./plate.jpg"; + /* Processed output image path */ + const char *zOut = argc > 2 ? argv[2] : "./out_plate.png"; + /* Load the input image in the grayscale colorspace */ + sod_img imgIn = sod_img_load_grayscale(zInput); + if (imgIn.data == 0) { + /* Invalid path, unsupported format, memory failure, etc. */ + puts("Cannot load input image..exiting"); + return 0; + } + /* A full color copy of the input image so we can draw rose boxes + * marking the plate in question if any. + */ + sod_img imgCopy = sod_img_load_color(zInput); + /* Obtain a binary image first */ + sod_img binImg = sod_threshold_image(imgIn, 0.5); + /* + * Perform Canny edge detection next which is a mandatory step + */ + sod_img cannyImg = sod_canny_edge_image(binImg, 1/* Reduce noise */); + /* + * Dilate the image say 12 times but you should experiment + * with different values for best results which depend + * on the quality of the input image/frame. */ + sod_img dilImg = sod_dilate_image(cannyImg, 12); + /* Perform connected component labeling or blob detection + * now on the binary, canny edged, Gaussian noise reduced and + * finally dilated image using our filter callback that should + * discard small or large rectangle areas. + */ + sod_box *box = 0; + int i, nbox; + sod_image_find_blobs(dilImg, &box, &nbox, filter_cb); + /* Draw a box on each potential plate coordinates */ + for (i = 0; i < nbox; i++) { + sod_image_draw_bbox_width(imgCopy, box[i], 5, 255., 0, 225.); // rose box + } + sod_image_blob_boxes_release(box); + /* Finally save the output image to the specified path */ + sod_img_save_as_png(imgCopy, zOut); + /* Cleanup */ + sod_free_image(imgIn); + sod_free_image(cannyImg); + sod_free_image(binImg); + sod_free_image(dilImg); + sod_free_image(imgCopy); + return 0; +} \ No newline at end of file