Harris, C.P, Buxton, B.F. 1996. Evolving Edge Detectors.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....order that they may be effectively manipulated. We use a genetic programming (GP) method of representation of solutions, due to the fact that each individual will represent a possible image processing algorithm. GP has previously been applied to image processing problems, including: edge detection [9], film restoration [10] face recognition [11] and image segmentation [12] The work of Daida et al. 13] and Bandyopadhyay and Pal [14] as well as our own work, cited above) is of particular relevance since it demonstrates that GP can be employed to successfully evolve algorithms for real tasks ....

C. Harris and B. Buxton, "Evolving Edge Detectors," Dept. of Computer Science, University College London, London, U.K., Res. Note RN/96/3, 1996.

....order that they may be e#ectively manipulated. We use a genetic programming (GP) method of representation of solutions, due to the fact that each individual will represent a possible image processing algorithm. GP has previously been applied to image processing problems, including: edge detection [4], face recognition [5] image segmentation [6] image compression [7] and feature extraction in remote sensing images [8 10] The work of Daida et al. 8] Brumby et al. 9] and Theiler et al. 10] is of particular relevance since it demonstrates that GP can be employed to successfully evolve ....

Harris, C., Buxton, B.: Evolving edge detectors. Research Note RN/96/3, University College London, Dept. of Computer Science, London (1996)

....of seven different objects, PADO has shown a correct classification rate of between 60 and 70 . Most of the applications described above are concerned with the problem of recognising the structure represented in an image. A different objective is the one described recently by Harris and Buxton [7] who used GP to discover optimum linear filters for edge detection in signals. In this approach, GP has to evolve functions which are sampled to build masks (linear FIR filters) The masks are then convolved with a set of reference signals for which a desired output is known. The results obtained ....

Christopher Harris and Bernard Buxton, "Evolving edge detectors", Research Note RN/96/3, UCL, Gower Street, London, WC1E 6BT, UK, Jan. 1996.

....implements the technique. No extra configuration, re compilation or re programming of the rest of the system is required. This allows the system to be changed and augmented quickly and with little effort. An example problem using GP COM We used GP COM to apply GP to an edge detector problem [Harris]. Two components in the system, the problem program and raw fitness calculation, needed to be written from scratch. In theory these could be combined into a single program, but GP COM assumes two programs will be used. This allows rapid substitution of a number of different fitness functions, ....

....of those components, a working model was quickly built. Once all the components had been put into place, the front end and parallelisation was automatically available through the global software components, and required no coding effort. The GP COM system. The problem is an edge detector problem[Harris], and 6 runs are being displayed. 10 Conclusions A generic Genetic Programming system was described. The system was split conceptually into problem dependent and problem independent components. Based on this analysis, a compiling distributed component based genetic programming system was ....

Harris CP, Buxton BF. "Evolving Edge Detectors". Submitted to GP-96.

....speed up the evolution process by more than a factor of ten. In this paper we present our genetic programming system, and we describe our optimization techniques. 1 Introduction Genetic programming [14] has been applied widely in image processing [20, 16, 6, 5] For example, Harris and Buxton [11] applied genetic programming techniques to derive high performance edge detectors for one dimensional signals. The resulting programs often compared favorably with handwritten edge detectors. The ultimate goal of our work is to detect certain signs of breast cancer that cannot be detected with ....

Christopher Harris and Bernard Buxton. Evolving edge detectors. Research Note RN/96/3, UCL, Gower Street, London, WC1E 6BT, UK, January 1996.

No context found.

Harris, C.P, Buxton, B.F. 1996. Evolving Edge Detectors.

No context found.

Harris, C., Buxton, B., "Evolving Edge Detectors", Research Note RN/96/3, UCL, Gower Street, London, WC1E 6BT, UK, Jan. 1996.

No context found.

C. Harris and B. Buxton, "Evolving edge detectors", Research Note RN/96/3, University College London, Dept. of Computer Science, London, 1996.

No context found.

C. Harris and B. Buxton. Evolving edge detectors. Research Note RN/96/3, UCL, Gower Street, London, WC1E 6BT, UK, Jan. 1996.

No context found.

C. Harris and B. Buxton, "Evolving edge detectors", Research Note RN/96/3, University College London, Dept. of Computer Science, London, 1996.

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