我正在使用brisk进入我的android应用程序。代码是：

public boolean runBRISK(String filename1, String filename2)
        {       
            BRISK detectorAndExtractor = BRISK.create();

            final MatOfKeyPoint keyPointsLarge = new MatOfKeyPoint();
            final MatOfKeyPoint keyPointsSmall = new MatOfKeyPoint();

            Mat largeImage = Imgcodecs.imread(filename1, Imgcodecs.IMREAD_COLOR);
            Mat smallImage = Imgcodecs.imread(filename2, Imgcodecs.IMREAD_COLOR);

            detectorAndExtractor.detect(largeImage, keyPointsLarge);
            detectorAndExtractor.detect(smallImage, keyPointsSmall);

            //System.out.println("keyPoints.size() : "+keyPointsLarge.size());
            //System.out.println("keyPoints2.size() : "+keyPointsSmall.size());

            Mat descriptorsLarge = new Mat();
            Mat descriptorsSmall = new Mat();

            detectorAndExtractor.compute(largeImage, keyPointsLarge, descriptorsLarge);
            detectorAndExtractor.compute(smallImage, keyPointsSmall, descriptorsSmall);

            //System.out.println("descriptorsA.size() : "+descriptorsLarge.size());
            //System.out.println("descriptorsB.size() : "+descriptorsSmall.size());

            MatOfDMatch matches = new MatOfDMatch();

            DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMINGLUT);
            matcher.match(descriptorsLarge, descriptorsSmall, matches);

            System.out.println("matches.size() : "+matches.size());

            MatOfDMatch matchesFiltered = new MatOfDMatch();

            List<DMatch> matchesList = matches.toList();
            List<DMatch> bestMatches= new ArrayList<DMatch>();

            Double max_dist = 0.0;
            Double min_dist = 100.0;

            for (int i = 0; i < matchesList.size(); i++)
            {
                Double dist = (double) matchesList.get(i).distance;

                if (dist < min_dist && dist != 0)
                {
                    min_dist = dist;
                }

                if (dist > max_dist)
                {
                    max_dist = dist;
                }

            }

            //System.out.println("max_dist : "+max_dist);
            //System.out.println("min_dist : "+min_dist);

            if(min_dist > 50 )
            {
                //System.out.println("No match found");
                //System.out.println("Just return ");
                return false;
            }

            double threshold = 3 * min_dist;
            double threshold2 = 2 * min_dist;

            if (threshold > 75)
            {
                threshold  = 75;
            }
            else if (threshold2 >= max_dist)
            {
                threshold = min_dist * 1.1;
            }
            else if (threshold >= max_dist)
            {
                threshold = threshold2 * 1.4;
            }

            //System.out.println("Threshold : "+threshold);

            for (int i = 0; i < matchesList.size(); i++)
            {
                Double dist = (double) matchesList.get(i).distance;

                if (dist < threshold)
                {
                    bestMatches.add(matches.toList().get(i));
                    //System.out.println(String.format(i + " best match added : %s", dist));
                }
            }

            matchesFiltered.fromList(bestMatches);

            System.out.println("matchesFiltered.size() : " + matchesFiltered.size());

            if(matchesFiltered.rows() >= 1) //TODO >= 4
            {
                System.out.println("match found");
                return true;
            }
            else
            {
                return false;
            }
        }

图片如下：
图像#0
图像#1与#0进行比较
图像#2与#0比较
图像#1和#2几乎相同，唯一的区别是颜色。
问题是，当我将它们与图像0进行比较时，得到99个与图像1最匹配的结果，86个与图像2最匹配的结果。但是，图像#0和#2共享主对象的相同颜色（深紫色）。
如何添加色差检测以改进特征匹配？