What do you think of my code to identify images, do you have any suggestions

        public Task<List<ImageMatch>> FindTemplateAsync(
            Bitmap source,
            Bitmap template,
            double threshold = 0.7,       
            int minMatchWidth = 10,
            int minMatchHeight = 10)
        {
            return Task.Run(() =>
            {
                using var srcMat = OpenCvSharp.Extensions.BitmapConverter.ToMat(source);
                using var tplMat = OpenCvSharp.Extensions.BitmapConverter.ToMat(template);

                using var srcProcessed = EnsureValidMat(srcMat);
                using var tplProcessed = EnsureValidMat(tplMat);


                using var result = new Mat();
                Cv2.MatchTemplate(srcProcessed, tplProcessed, result, TemplateMatchModes.SqDiffNormed);

                Cv2.MinMaxLoc(result, out double minVal, out _, out _, out OpenCvSharp.Point minLoc);
                if (minVal > threshold) // threshold para SqDiffNormed
                    return new List<ImageMatch>();

                // Pega o melhor match global
                Cv2.MinMaxLoc(result, out _, out double maxVal, out _, out OpenCvSharp.Point maxLoc);
                Console.WriteLine($"maxVal={maxVal}, maxLoc=({maxLoc.X},{maxLoc.Y})");

                if (maxVal < threshold)
                    return new List<ImageMatch>();

                var bestMatch = new ImageMatch(
                    new Rectangle(maxLoc.X, maxLoc.Y, tplProcessed.Width, tplProcessed.Height),
                    maxVal,
                    new System.Drawing.Point(maxLoc.X + tplProcessed.Width / 2, maxLoc.Y + tplProcessed.Height / 2)
                );

                return new List<ImageMatch> { bestMatch };
            });
        }

        public Task<List<ImageMatch>> FindTemplateAsync(
            Bitmap source,
            Bitmap template,
            double threshold = 0.7,       
            int minMatchWidth = 10,
            int minMatchHeight = 10)
        {
            return Task.Run(() =>
            {
                using var srcMat = OpenCvSharp.Extensions.BitmapConverter.ToMat(source);
                using var tplMat = OpenCvSharp.Extensions.BitmapConverter.ToMat(template);

                using var srcProcessed = EnsureValidMat(srcMat);
                using var tplProcessed = EnsureValidMat(tplMat);


                using var result = new Mat();
                Cv2.MatchTemplate(srcProcessed, tplProcessed, result, TemplateMatchModes.SqDiffNormed);

                Cv2.MinMaxLoc(result, out double minVal, out _, out _, out OpenCvSharp.Point minLoc);
                if (minVal > threshold) // threshold para SqDiffNormed
                    return new List<ImageMatch>();

                // Pega o melhor match global
                Cv2.MinMaxLoc(result, out _, out double maxVal, out _, out OpenCvSharp.Point maxLoc);
                Console.WriteLine($"maxVal={maxVal}, maxLoc=({maxLoc.X},{maxLoc.Y})");

                if (maxVal < threshold)
                    return new List<ImageMatch>();

                var bestMatch = new ImageMatch(
                    new Rectangle(maxLoc.X, maxLoc.Y, tplProcessed.Width, tplProcessed.Height),
                    maxVal,
                    new System.Drawing.Point(maxLoc.X + tplProcessed.Width / 2, maxLoc.Y + tplProcessed.Height / 2)
                );

                return new List<ImageMatch> { bestMatch };
            });
        }