Consider a n * n binary matrix. Each cell of this matrix has at most 4 neighbors (if it exists). We call two cells of this matrix incompatible if they are neighbors and thei
This idea is due to Greig, Porteous, and Seheult. Treat the matrix as a capacitated directed graph with vertices corresponding to matrix entries and arcs from each vertex to its four neighbors, each with capacity b. Introduce two more vertices, a source and a sink, and arcs of capacity a: from the source to each vertex with a corresponding 0 entry, and to the sink from each vertex with a corresponding 1 entry. Find a minimum cut; the entries with value 0 after changes are the vertices on the source side of the cut, and the entries with value 1 after changes are the vertices on the sink side of the cut.
The cost of this cut is exactly your objective. Of the capacity-a from-source arcs, the ones crossing the cut correspond to changes from 0 to 1. Of the capacity-a to-sink arcs, the ones crossing the cut correspond to changes from 1 to 0. Of the capacity-b arcs, the ones crossing the cut correspond to those instances where there is an arc from a 0 to a 1.