Pig"s original image data was transformed to a binary image, an image excluding head and tail portion from the whole binary image, and a projected image associated with pig"s height. Then the length of body, width of shoulder, and area of pig were calculated and the relationships among the above characteristics and pig"s weight were analyzed. The results obtained from this study were as follows: 1. Whole binary image data was considered to be improper to determine the pig"s weight because the movement of pig"s head and tail portion affected the image data. 2. Binary image data excluding head and tail portion from the whole binary image showed a better estimation of the pig"s weight than the whole binary image. 3. Pig"s should width was analyzed to be improper factor to determine the pig"s weight. 4. The projected image associated with pig"s height showed the highest correlation between the pig"s area of the image and pig"s weight(R2=0.9965). From this research the projected image associated with pig"s height, which is excluding head and tail portion from the whole body of pig"s image, was considered to be the prime factor to measure the pig"s weight by the noncontact measurement.