Color Image Code Classification via HSV Conversion

The patent converts color information from RGB color space to HSV color space, changing the parameter representation. By using hue, saturation, and value parameters instead of red, green, and blue values, the system can better distinguish colors under varying lighting conditions. The hue parameter specifically captures color information that remains relatively stable across different lighting environments, thereby maintaining recognition accuracy while preserving color-based data storage capacity.

The patent introduces an intermediary processing step that converts RGB values to HSV values before color classification. This intermediary transformation acts as a bridge between the raw color data (which is sensitive to lighting) and the final color classification (which needs to be stable). The HSV color space serves as an intermediary representation that separates color information from lighting information, enabling accurate recognition despite environmental variations.

The patent transforms the color representation parameters from RGB to HSV, which fundamentally changes how color information is organized and processed. This parameter transformation enables the system to achieve high color classification accuracy under varying lighting conditions while maintaining relatively simple processing logic. The conversion to HSV space allows for straightforward threshold-based classification based on hue and saturation values.

The patent segments color information into three distinct components: hue, saturation, and value. By separating these components, the system can focus on hue and saturation for color classification while using value for brightness-based decisions. This segmentation allows the processing to remain simple while achieving high accuracy, as each component can be processed independently with simple comparison operations.

The patent applies partial action by sampling only a subset of pixels from each cell rather than processing all pixels. Specifically, it samples pixels at regular intervals or at specific positions within each cell. This partial sampling approach maintains sufficient color classification accuracy while significantly reducing the number of pixels that need to be processed, thereby decreasing processing time and making the system suitable for mobile devices with limited computational resources.

The patent extracts only the essential color information from each cell by sampling representative pixels and converting them to HSV space. Instead of processing all pixel data, it extracts the key hue and saturation values needed for color classification. This extraction approach reduces processing time while preserving the critical information needed for accurate color recognition.