[Improved Algorithm of Histogram Equalization for Image Enhancement].

An improved algorithm of histogram equalization for image enhancement is discussed. After the image containing noises was wavelets transformed, the low frequency wavelet coefficients are equalized, and then all the wavelets are inverse transformed to enhance the image. This improved algorithm of histogram equalization gets a better image enhancement effect by test verification.

[Simulation study on acoustic source reconstruction of magneto-acoustic tomography with magnetic induction (MAT-MI) based on transducer].

OBJECTIVE: In order to accurately reconstruct the acoustic source image, the application of transducer's receiving characteristics in magneto-acoustic tomography with magnetic induction (MAT-MI) is studied. METHODS: The conductivity phantom model is built, and the magnetic acoustic signals are simulated and the acoustic sources are reconstructed according to the transducer's receiving characteristics. RESULTS: The reconstructed image of acoustic source is consistent with the topographic shape and size of the phantom model. CONCLUSION: MAT-MI based on the transducer's characteristics lays the foundation for further study.