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Weaknesses in the Fast Hessian detector utilized by the SURF algorithm make it less robust to image rotation, image blurring, illumination change and other transformations. In order to solve this problem, an alternative to the SURF detector is proposed which utilizes filters that are rotated 45 degrees counter-clockwise. This new detector is robust to various image transformation and has the ability to match the original SURF algorithm. The new algorithm is also improved by the simplex algorithm (ISA) which can optimize parameters based on input image. Performance testing shows that the new method retains the speed advantage designed into the original SURF algorithm and outperforms the regular SURF detector when subject to image blurring,illumination changes and JPEG compression. The new method outperforms regular SURF slightly when subjected to affine changes and small image scale transformations.