Abstract: This paper presents two learning based algorithms that are designed for the purpose of extracting and processing suitable information in images for the visually impaired. Both algorithms are developed to be used within a specific modular sonification system. This system is designed to allow visually impaired people to explore images, actively on a touch screen, and to receive an auditory response about the image content at any current finger position. The first algorithm presented in this paper therefore addresses the problem of labeling regions within images, incorporating spatial dependencies. The second algorithm strives to alleviate the rejection of false object detections before sonification. This is crucial to avoid confusion on the side of the blind user, who can not check for a correct image labeling or object detection visually. Due to the modular design principle of the modular sonification system, both algorithms can be incorporated easily and efficiently