Multi-Illuminant Color Reproduction for Electronic Cameras Via CANFIS Neuro-Fuzzy Modular Network Device Characterization  

Oleh:

Nishio, K. ; Mizutani, E.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 4 (2002), page 1009-1022.
Topik: ELECTRONIC; multi - illumination; reproduction; electronic cameras; CANFIS; modular network; device

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.7A Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

We describe color reproduction and correction of images captured by electronic cameras under multiple illumination (or lighting) conditions, relating to color device characterization for enhancing the quality of color in the obtained images. In particular, we highlight a very practical use of neuro - fuzzy modular network coactive neuro - fuzzy inference systems (CANFIS) models for this application, and discuss their strengths and weaknesses compared with other adaptive network models (e. g., multilayer perceptron (MLP)) as well as conventional lookup-table - type (TRC - matrix) methods. Our in - depth investigation based on comprehensive numerical tests with a wide variety of illumination / lighting data (180 sources of illumination) shows that the "neuro - fuzzy CANFIS with MLP local experts" possesses a remarkable generalization / approximation capacity, even under a very restricted condition where only four - illuminant data sets were permitted to be used for optimization because of efficient practical implementation subject to an industrial setting.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali