java - Algorithm to get all pixels between color border? -


i have long png file containing many sprites in row, width/height changes little bit. however, sprites have fixed blue color 1px border around it.

however, after each sprite, borders connected each other 2px (just border after border interacts) see this:

img

but @ bottom of sprites, misses 1 pixel point

is there existing algorithm can pixels between color border this, including border when giving pixels?

or other ideas how grab sprites of 1 file , give them fixed size?

i took image , transformed match description.

in plain text went form left right , identify lines might indicate start or end image , used tracker variable decide which.

i approached in java:

import javax.imageio.imageio; import java.awt.image.bufferedimage; import java.awt.image.raster; import java.io.file; import java.io.ioexception;  public class pixelartsizefinder {     public static void main(string[] args) throws ioexception {         file imagefile = new file("pixel_boat.png");         bufferedimage image = imageio.read(imagefile);          int w = image.getwidth();         int h = image.getheight();         system.out.format("size: %dx%d%n", w, h);          raster data = image.getdata();          int objectsfound = 0;         int startobjectwidth = 0;         int endobjectwidth = 0;         boolean scanningobject = false;         (int x = 0; x < w; x++) {              boolean verticallinecontainsonlytransparentorborder = true;             (int y = 0; y < h; y++) {                 int[] pixel = data.getpixel(x, y, new int[4]);                 if (isother(pixel)) {                     verticallinecontainsonlytransparentorborder = false;                 }             }              if (verticallinecontainsonlytransparentorborder) {                 if (scanningobject) {                     endobjectwidth = x;                     system.out.format("object %d: %d-%d (%dpx)%n",                             objectsfound,                             startobjectwidth,                             endobjectwidth,                             endobjectwidth - startobjectwidth);                 } else {                     objectsfound++;                     startobjectwidth = x;                 }                 scanningobject ^= true; //toggle             }         }     }      private static boolean istransparent(int[] pixel) {         return pixel[3] == 0;     }      private static boolean isborder(int[] pixel) {         return pixel[0] == 0 && pixel[1] == 187 && pixel[2] == 255 && pixel[3] == 255;     }      private static boolean isother(int[] pixel) {         return !istransparent(pixel) && !isborder(pixel);     } }

and result was

size: 171x72 object 1: 0-27 (27px) object 2: 28-56 (28px) object 3: 57-85 (28px) object 4: 86-113 (27px) object 5: 114-142 (28px) object 6: 143-170 (27px)

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