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I drastically improved my matching algorithm by combining it with a histogram comparison. My final matching probability is calculated like this: probability = (matchingProbability * 2 + histProbability) / 3 Also I found that inverting images can improve template matching further. this.tmplMeanStdDev = getMeanStdDev(tmpl) const meanArr = tmpl.mean() const ...


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From Computational Frameworks for the Fast Fourier Transform: Standard radix-2 procedures are based upon the fast synthesis of two half-length DFTs. The split-radix algorithm is based upon a clever synthesis of one half-length DFT together with two quarter-length DFTs On the otherhand, Radix p uses divide and conquer to recursively split the dft into p ...


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