Real-Time Image Segmentation on a Massively Parallel Architecture T he method described in this paper enables the two end points of a straight line to be obtained by a Modiยฎed Double Hough Transform (MDHT). It consists respectively of line detection, followed by segment extraction. The signiยฎcance of this work is that the hardware implementation is based on the Content Addressable Memory (CAM) concept. Hence, during the ยฎrst HT, voting is achieved for the every scan line of image, not every edge pixel. Therefore, all the steps which form the ยฎrst HT: voting, thresholding and local maximum are achieved in a low constant time. The two end points of the line are extracted through the second HT. Here, a local neighbor parallel search is also achieved at the end of each scan line of the image not at every edge pixel. Therefore, the execution time is low since the neighboring range does not exceed a few lines. Experimental results are given to show the accuracy of our approach for use in high performance pattern recognition systems.