This document presents a method for region-wise parallel processing of images using multithreading in a multi-core environment. The method divides large images into distinct regions of interest and assigns each region to a separate processing core. Each core then calculates statistical features for its assigned region in parallel. Experimental results on cell images show speedups of up to 600% when using 8 threads on an Intel Xeon processor compared to sequential processing on a single core. The document concludes that region-wise parallel processing provides significantly more efficient results than existing parallel image processing methods. This approach has applications in medical imaging where fast analysis of large images is important.